feat: add thumbnail A/B testing pipeline (t207)#896
Conversation
Add thumbnail-factory-helper.sh CLI tool and youtube/thumbnail-ab-testing.md subagent for generating, scoring, and A/B testing multiple thumbnail variants per video. New files: - scripts/thumbnail-factory-helper.sh: SQLite-backed CLI with commands for brief generation, DALL-E 3 variant creation, rubric-based scoring (face, contrast, text space, brand, emotion, clarity), competitor analysis, A/B test tracking, and performance reporting - youtube/thumbnail-ab-testing.md: Full pipeline documentation covering 5-phase workflow (brief -> generate -> score -> test -> analyse) Updated files: - youtube.md: Add thumbnail-ab-testing subagent and architecture diagram - youtube/optimizer.md: Cross-reference thumbnail pipeline - youtube/pipeline.md: Add Worker 5 (thumbnails) to automated pipeline - content/optimization.md: Update script reference from planned to implemented - content/production/image.md: Cross-reference thumbnail pipeline - content/distribution/youtube/README.md: Add subagent to table - subagent-index.toon: Register new subagent and script
|
Warning You have reached your daily quota limit. Please wait up to 24 hours and I will start processing your requests again! |
WalkthroughThis PR introduces a comprehensive thumbnail A/B testing pipeline for YouTube content optimization, consisting of a 1,110-line Bash helper script ( Changes
Estimated code review effort🎯 3 (Moderate) | ⏱️ ~30 minutes Possibly related issues
Possibly related PRs
Poem
🚥 Pre-merge checks | ✅ 3✅ Passed checks (3 passed)
✏️ Tip: You can configure your own custom pre-merge checks in the settings. ✨ Finishing touches
🧪 Generate unit tests (beta)
Thanks for using CodeRabbit! It's free for OSS, and your support helps us grow. If you like it, consider giving us a shout-out. Comment |
![coderabbitai[bot]](https://avatars.githubusercontent.com/in/347564?s=60&v=4){kind=small}
There was a problem hiding this comment.
Actionable comments posted: 8
Caution
Some comments are outside the diff and can’t be posted inline due to platform limitations.
⚠️ Outside diff range comments (1)
.agents/subagent-index.toon (1)
87-87:⚠️ Potential issue | 🟡 MinorScripts count not updated — header says
[58]but there are now 59 entries.Adding
thumbnail-factory-helper.shon Line 146 brings the total script count to 59. The TOON header on Line 87 still readsscripts[58]. This should be incremented to maintain accurate metadata, keeping that zero-technical-debt standard intact.🔧 Proposed fix
-<!--TOON:scripts[58]{name,purpose}: +<!--TOON:scripts[59]{name,purpose}:
🤖 Fix all issues with AI agents
In @.agents/scripts/thumbnail-factory-helper.sh:
- Around line 306-318: The script requests DALL·E images at 1792x1024 (see the
prompt and the curl body using "size": "1792x1024") but never resizes the
downloaded image to THUMB_WIDTH x THUMB_HEIGHT (1280x720); add a post-download
resize step after the response is saved that detects and uses ImageMagick's
convert or macOS sips to resize/crop to exactly ${THUMB_WIDTH}x${THUMB_HEIGHT}
while preserving aspect and center-cropping as needed, and wire this into the
same code path that handles the saved image (refer to the variables response,
prompt, THUMB_WIDTH, THUMB_HEIGHT and the download/save logic) so thumbnails are
produced at the target size.
- Around line 264-266: The credential extraction uses grep -oP (PCRE) which
isn't available on macOS; update the fallback block that assigns api_key (the
line using grep -oP 'OPENAI_API_KEY="\\K[^"]+') to use a POSIX-safe tool (sed or
awk) instead so it works on BSD grep systems—e.g., parse
$HOME/.config/aidevops/credentials.sh with awk or sed to extract the
OPENAI_API_KEY value and assign it to the api_key variable, keeping the same
fallback behavior (head -1 || true).
- Around line 44-106: The init_db function currently swallows sqlite3 errors
(the sqlite3 "$THUMB_DB" ... 2>/dev/null || true), which hides failures; modify
init_db (and the sqlite3 invocation) to stop discarding stderr, capture sqlite3
exit status, and on non-zero exit print a clear error to stderr including
$THUMB_DB and the sqlite3 error text (e.g., echo "ERROR: failed to initialize
$THUMB_DB: <stderr>" >&2) and exit or return a non-zero code instead of silently
succeeding; ensure the caller sees the non-zero return so downstream steps don't
run on silent failure.
- Around line 155-162: The assignments to thumb_url and title use unsafe node -e
with sed-escaped JSON (thumb_url and title variables) which risks command
injection and broken parsing; change both to pipe the raw video_data into node
via stdin (same safe stdin-piping pattern used earlier) and read JSON from
process.stdin inside the Node snippet instead of embedding the string, and apply
the same stdin-piping fix to the other occurrences flagged (the node -e uses
around lines assigning other thumbnail/title values referenced in the comment).
- Around line 518-535: In cmd_record_score validate each score argument
(score_face, score_contrast, score_text, score_brand, score_emotion,
score_clarity) is numeric and within 1–10 before calling init_db or the node
total calculation; if any value is non-numeric or out of range, print a clear
error and exit non-zero. Implement the checks early in cmd_record_score (e.g.,
using a numeric test and range comparison for each variable) and only proceed to
run the node snippet and insert into SQLite when all six values pass validation;
ensure invalid inputs do not reach the DB to avoid NaN entries breaking
aggregates.
- Around line 842-851: The IFS='|' read into overall can produce empty variables
(videos, variants, avg_score, best_score, passing, winners, avg_ctr) if the
sqlite3 query fails, causing integer comparisons later (the -lt/-eq checks
referencing variants, passing, winners) to blow up; after the IFS='|' read,
coerce each numeric variable to a safe default like 0 (e.g. reset variants,
passing, winners, videos, avg_score, best_score, avg_ctr to ${var:-0} or
equivalent) so the later numeric comparisons and percent formatting always
operate on valid integers/floats; apply this to the variables parsed from
overall and any variables used in the subsequent -lt/-eq checks.
- Around line 236-239: The script interpolates unsanitized variables (video_id,
variant_path, variant_label, style, image_path, etc.) directly into sqlite3 SQL
which allows SQL injection; add a single helper function (e.g.,
escape_sql_literal) that performs the same single-quote escaping used for title
(sed "s/'/''/g") and call it before any SQL interpolation, then replace raw uses
in the INSERT/UPDATE calls for thumbnail_briefs and other DB operations
referenced by cmd_generate, _generate_prompt_files, cmd_record_score,
cmd_ab_status, cmd_history, and cmd_compare so all user-supplied fields are
escaped consistently.
In @.agents/youtube/thumbnail-ab-testing.md:
- Line 113: The table row for "DALL-E 3 (via script)" currently shows a price of
$0.08/img but HD 1792×1024 images cost $0.12/img; update that table entry to
reflect "$0.12/img" (or clarify "Standard $0.08/img, HD 1792×1024 $0.12/img") in
the .agents/youtube/thumbnail-ab-testing.md row that contains "DALL-E 3 (via
script)" so the pricing is accurate.
🧹 Nitpick comments (1)
.agents/scripts/thumbnail-factory-helper.sh (1)
38-38: Unused constantHELP_SHOW_MESSAGE.
HELP_SHOW_MESSAGEis declared but never referenced anywhere in the script. ShellCheck would flag this as SC2034 but it's globally suppressed on line 2.
| init_db() { | ||
| mkdir -p "$THUMB_DB_DIR" 2>/dev/null || true | ||
| mkdir -p "$THUMB_WORKSPACE" 2>/dev/null || true | ||
| mkdir -p "$THUMB_STYLE_LIB" 2>/dev/null || true | ||
|
|
||
| sqlite3 "$THUMB_DB" " | ||
| CREATE TABLE IF NOT EXISTS thumbnail_tests ( | ||
| id INTEGER PRIMARY KEY AUTOINCREMENT, | ||
| video_id TEXT NOT NULL, | ||
| video_title TEXT DEFAULT '', | ||
| variant_path TEXT NOT NULL, | ||
| variant_label TEXT DEFAULT '', | ||
| style_template TEXT DEFAULT '', | ||
| score_total REAL DEFAULT 0, | ||
| score_face REAL DEFAULT 0, | ||
| score_contrast REAL DEFAULT 0, | ||
| score_text REAL DEFAULT 0, | ||
| score_brand REAL DEFAULT 0, | ||
| score_emotion REAL DEFAULT 0, | ||
| score_clarity REAL DEFAULT 0, | ||
| is_winner INTEGER DEFAULT 0, | ||
| ctr REAL DEFAULT 0, | ||
| impressions INTEGER DEFAULT 0, | ||
| status TEXT DEFAULT 'generated', | ||
| notes TEXT DEFAULT '', | ||
| created_at TEXT DEFAULT (strftime('%Y-%m-%dT%H:%M:%SZ', 'now')), | ||
| updated_at TEXT DEFAULT (strftime('%Y-%m-%dT%H:%M:%SZ', 'now')) | ||
| ); | ||
|
|
||
| CREATE TABLE IF NOT EXISTS thumbnail_briefs ( | ||
| id INTEGER PRIMARY KEY AUTOINCREMENT, | ||
| video_id TEXT NOT NULL, | ||
| video_title TEXT DEFAULT '', | ||
| concept TEXT DEFAULT '', | ||
| emotional_trigger TEXT DEFAULT '', | ||
| layout TEXT DEFAULT '', | ||
| face_direction TEXT DEFAULT '', | ||
| background TEXT DEFAULT '', | ||
| key_object TEXT DEFAULT '', | ||
| text_overlay TEXT DEFAULT '', | ||
| color_palette TEXT DEFAULT '', | ||
| reference_urls TEXT DEFAULT '', | ||
| created_at TEXT DEFAULT (strftime('%Y-%m-%dT%H:%M:%SZ', 'now')) | ||
| ); | ||
|
|
||
| CREATE TABLE IF NOT EXISTS style_templates ( | ||
| id INTEGER PRIMARY KEY AUTOINCREMENT, | ||
| name TEXT UNIQUE NOT NULL, | ||
| description TEXT DEFAULT '', | ||
| json_template TEXT NOT NULL, | ||
| avg_score REAL DEFAULT 0, | ||
| avg_ctr REAL DEFAULT 0, | ||
| usage_count INTEGER DEFAULT 0, | ||
| created_at TEXT DEFAULT (strftime('%Y-%m-%dT%H:%M:%SZ', 'now')), | ||
| updated_at TEXT DEFAULT (strftime('%Y-%m-%dT%H:%M:%SZ', 'now')) | ||
| ); | ||
|
|
||
| CREATE INDEX IF NOT EXISTS idx_tests_video ON thumbnail_tests(video_id); | ||
| CREATE INDEX IF NOT EXISTS idx_tests_status ON thumbnail_tests(status); | ||
| CREATE INDEX IF NOT EXISTS idx_tests_winner ON thumbnail_tests(is_winner); | ||
| " 2>/dev/null || true | ||
| return 0 | ||
| } |
There was a problem hiding this comment.
Silent failure on database initialization undermines all downstream operations.
init_db suppresses all errors from sqlite3 (line 104: 2>/dev/null || true). If the database is corrupt, the disk is full, or permissions are wrong, every subsequent command will silently fail or produce empty results with no user feedback. Per coding guidelines, scripts should have clear logging and error recovery.
🔧 Proposed fix — fail loudly on DB init
- sqlite3 "$THUMB_DB" "
+ if ! sqlite3 "$THUMB_DB" "
CREATE TABLE IF NOT EXISTS thumbnail_tests (
...
);
- " 2>/dev/null || true
- return 0
+ " 2>/dev/null; then
+ print_error "Failed to initialize database: $THUMB_DB"
+ return 1
+ fi
+ return 0As per coding guidelines, .agents/scripts/*.sh: "Reliability and robustness" and "Clear logging and feedback."
🤖 Prompt for AI Agents
In @.agents/scripts/thumbnail-factory-helper.sh around lines 44 - 106, The
init_db function currently swallows sqlite3 errors (the sqlite3 "$THUMB_DB" ...
2>/dev/null || true), which hides failures; modify init_db (and the sqlite3
invocation) to stop discarding stderr, capture sqlite3 exit status, and on
non-zero exit print a clear error to stderr including $THUMB_DB and the sqlite3
error text (e.g., echo "ERROR: failed to initialize $THUMB_DB: <stderr>" >&2)
and exit or return a non-zero code instead of silently succeeding; ensure the
caller sees the non-zero return so downstream steps don't run on silent failure.
| local thumb_url | ||
| thumb_url=$(node -e " | ||
| const d = JSON.parse('$(echo "$video_data" | sed "s/'/\\\\'/g")'); | ||
| console.log(d.thumbnails?.maxres?.url || d.thumbnails?.high?.url || d.thumbnails?.default?.url || ''); | ||
| " 2>/dev/null) | ||
|
|
||
| local title | ||
| title=$(node -e "console.log(JSON.parse('$(echo "$video_data" | sed "s/'/\\\\'/g")').title)" 2>/dev/null) |
There was a problem hiding this comment.
Command injection risk — JSON data interpolated into node -e via fragile sed escaping.
Lines 156–162 (and similarly lines 212–221) pass video_data into node -e by embedding it in a single-quoted JS string with only ' → \' escaping. Backslashes, newlines, or other special characters in the API response will break parsing or allow code injection. This is inconsistent with the safe stdin-piping pattern already used at lines 133–149.
🛡️ Proposed fix — use stdin piping consistently
- local thumb_url
- thumb_url=$(node -e "
-const d = JSON.parse('$(echo "$video_data" | sed "s/'/\\\\'/g")');
-console.log(d.thumbnails?.maxres?.url || d.thumbnails?.high?.url || d.thumbnails?.default?.url || '');
-" 2>/dev/null)
+ local thumb_url
+ thumb_url=$(node -e "
+const d = JSON.parse(require('fs').readFileSync('/dev/stdin', 'utf8'));
+console.log(d.thumbnails?.maxres?.url || d.thumbnails?.high?.url || d.thumbnails?.default?.url || '');
+" <<< "$video_data" 2>/dev/null)
- local title
- title=$(node -e "console.log(JSON.parse('$(echo "$video_data" | sed "s/'/\\\\'/g")').title)" 2>/dev/null)
+ local title
+ title=$(node -e "
+const d = JSON.parse(require('fs').readFileSync('/dev/stdin', 'utf8'));
+console.log(d.title);
+" <<< "$video_data" 2>/dev/null)Apply the same fix to lines 212–221 and line 327.
📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| local thumb_url | |
| thumb_url=$(node -e " | |
| const d = JSON.parse('$(echo "$video_data" | sed "s/'/\\\\'/g")'); | |
| console.log(d.thumbnails?.maxres?.url || d.thumbnails?.high?.url || d.thumbnails?.default?.url || ''); | |
| " 2>/dev/null) | |
| local title | |
| title=$(node -e "console.log(JSON.parse('$(echo "$video_data" | sed "s/'/\\\\'/g")').title)" 2>/dev/null) | |
| local thumb_url | |
| thumb_url=$(node -e " | |
| const d = JSON.parse(require('fs').readFileSync('/dev/stdin', 'utf8')); | |
| console.log(d.thumbnails?.maxres?.url || d.thumbnails?.high?.url || d.thumbnails?.default?.url || ''); | |
| " <<< "$video_data" 2>/dev/null) | |
| local title | |
| title=$(node -e " | |
| const d = JSON.parse(require('fs').readFileSync('/dev/stdin', 'utf8')); | |
| console.log(d.title); | |
| " <<< "$video_data" 2>/dev/null) |
🤖 Prompt for AI Agents
In @.agents/scripts/thumbnail-factory-helper.sh around lines 155 - 162, The
assignments to thumb_url and title use unsafe node -e with sed-escaped JSON
(thumb_url and title variables) which risks command injection and broken
parsing; change both to pipe the raw video_data into node via stdin (same safe
stdin-piping pattern used earlier) and read JSON from process.stdin inside the
Node snippet instead of embedding the string, and apply the same stdin-piping
fix to the other occurrences flagged (the node -e uses around lines assigning
other thumbnail/title values referenced in the comment).
| sqlite3 "$THUMB_DB" " | ||
| INSERT INTO thumbnail_briefs (video_id, video_title, concept, emotional_trigger) | ||
| VALUES ('$video_id', '$(echo "$title" | sed "s/'/''/g")', 'multi-concept', 'curiosity/surprise'); | ||
| " 2>/dev/null || true |
There was a problem hiding this comment.
SQL injection — user-supplied video_id is interpolated directly into SQL throughout the script.
video_id comes directly from CLI args ($1) and is never sanitized. A crafted video_id like '; DROP TABLE thumbnail_tests; -- would execute arbitrary SQL. The same pattern affects variant_path, variant_label, style, and image_path across cmd_generate (line 343), _generate_prompt_files (line 401), cmd_record_score (line 543), cmd_ab_status (line 723), cmd_history (line 788), and cmd_compare (line 962).
The title field gets sed "s/'/''/g" escaping, but video_id and other fields do not. Apply the same single-quote escaping consistently, or better yet, create a helper:
🛡️ Proposed mitigation — add a sanitization helper and apply it
+# Escape single quotes for safe SQLite interpolation
+_sql_escape() {
+ printf '%s' "${1//\'/\'\'}"
+}
+Then use it at all injection points, e.g.:
sqlite3 "$THUMB_DB" "
INSERT INTO thumbnail_briefs (video_id, video_title, concept, emotional_trigger)
- VALUES ('$video_id', '$(echo "$title" | sed "s/'/''/g")', 'multi-concept', 'curiosity/surprise');
+ VALUES ('$(_sql_escape "$video_id")', '$(_sql_escape "$title")', 'multi-concept', 'curiosity/surprise');
" 2>/dev/null || true🤖 Prompt for AI Agents
In @.agents/scripts/thumbnail-factory-helper.sh around lines 236 - 239, The
script interpolates unsanitized variables (video_id, variant_path,
variant_label, style, image_path, etc.) directly into sqlite3 SQL which allows
SQL injection; add a single helper function (e.g., escape_sql_literal) that
performs the same single-quote escaping used for title (sed "s/'/''/g") and call
it before any SQL interpolation, then replace raw uses in the INSERT/UPDATE
calls for thumbnail_briefs and other DB operations referenced by cmd_generate,
_generate_prompt_files, cmd_record_score, cmd_ab_status, cmd_history, and
cmd_compare so all user-supplied fields are escaped consistently.
| elif [[ -f "$HOME/.config/aidevops/credentials.sh" ]]; then | ||
| api_key=$(grep -oP 'OPENAI_API_KEY="\K[^"]+' "$HOME/.config/aidevops/credentials.sh" 2>/dev/null | head -1 || true) | ||
| fi |
There was a problem hiding this comment.
grep -oP (PCRE) is not available on macOS default grep.
The fallback credential extraction uses grep -oP which requires GNU grep. macOS ships BSD grep without -P support, so this fallback path will silently fail (caught by || true). Consider using sed or awk instead for cross-platform compatibility.
🔧 Cross-platform alternative
- api_key=$(grep -oP 'OPENAI_API_KEY="\K[^"]+' "$HOME/.config/aidevops/credentials.sh" 2>/dev/null | head -1 || true)
+ api_key=$(sed -n 's/.*OPENAI_API_KEY="\([^"]*\)".*/\1/p' "$HOME/.config/aidevops/credentials.sh" 2>/dev/null | head -1 || true)📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| elif [[ -f "$HOME/.config/aidevops/credentials.sh" ]]; then | |
| api_key=$(grep -oP 'OPENAI_API_KEY="\K[^"]+' "$HOME/.config/aidevops/credentials.sh" 2>/dev/null | head -1 || true) | |
| fi | |
| elif [[ -f "$HOME/.config/aidevops/credentials.sh" ]]; then | |
| api_key=$(sed -n 's/.*OPENAI_API_KEY="\([^"]*\)".*/\1/p' "$HOME/.config/aidevops/credentials.sh" 2>/dev/null | head -1 || true) | |
| fi |
🤖 Prompt for AI Agents
In @.agents/scripts/thumbnail-factory-helper.sh around lines 264 - 266, The
credential extraction uses grep -oP (PCRE) which isn't available on macOS;
update the fallback block that assigns api_key (the line using grep -oP
'OPENAI_API_KEY="\\K[^"]+') to use a POSIX-safe tool (sed or awk) instead so it
works on BSD grep systems—e.g., parse $HOME/.config/aidevops/credentials.sh with
awk or sed to extract the OPENAI_API_KEY value and assign it to the api_key
variable, keeping the same fallback behavior (head -1 || true).
| local prompt="YouTube thumbnail, ${THUMB_WIDTH}x${THUMB_HEIGHT}, 16:9 aspect ratio, ${concept}, high contrast, readable at small size, no text, no watermark, professional quality, 4K" | ||
|
|
||
| local response | ||
| response=$(curl -s "https://api.openai.com/v1/images/generations" \ | ||
| -H "Authorization: Bearer $api_key" \ | ||
| -H "$CONTENT_TYPE_JSON" \ | ||
| -d "{ | ||
| \"model\": \"dall-e-3\", | ||
| \"prompt\": $(node -e "console.log(JSON.stringify('$prompt'))" 2>/dev/null), | ||
| \"size\": \"1792x1024\", | ||
| \"quality\": \"hd\", | ||
| \"style\": \"natural\" | ||
| }" 2>/dev/null) || { |
There was a problem hiding this comment.
Generated images are 1792×1024 but never resized to the target 1280×720.
DALL-E 3 doesn't support 1280×720 natively, so "1792x1024" is requested (line 315). However, the downloaded images are saved as-is without any resize step, meaning they won't match THUMB_WIDTH×THUMB_HEIGHT (1280×720). The troubleshooting docs acknowledge this gap ("resize to 1280×720") but the script doesn't implement it. Consider adding a post-download resize using sips (macOS) or convert (ImageMagick) when available.
🤖 Prompt for AI Agents
In @.agents/scripts/thumbnail-factory-helper.sh around lines 306 - 318, The
script requests DALL·E images at 1792x1024 (see the prompt and the curl body
using "size": "1792x1024") but never resizes the downloaded image to THUMB_WIDTH
x THUMB_HEIGHT (1280x720); add a post-download resize step after the response is
saved that detects and uses ImageMagick's convert or macOS sips to resize/crop
to exactly ${THUMB_WIDTH}x${THUMB_HEIGHT} while preserving aspect and
center-cropping as needed, and wire this into the same code path that handles
the saved image (refer to the variables response, prompt, THUMB_WIDTH,
THUMB_HEIGHT and the download/save logic) so thumbnails are produced at the
target size.
| cmd_record_score() { | ||
| local image_path="${1:?Image path required}" | ||
| local score_face="${2:?Face score required (1-10)}" | ||
| local score_contrast="${3:?Contrast score required (1-10)}" | ||
| local score_text="${4:?Text space score required (1-10)}" | ||
| local score_brand="${5:?Brand score required (1-10)}" | ||
| local score_emotion="${6:?Emotion score required (1-10)}" | ||
| local score_clarity="${7:?Clarity score required (1-10)}" | ||
|
|
||
| init_db | ||
|
|
||
| # Calculate weighted total | ||
| local total | ||
| total=$(node -e " | ||
| const f=$score_face, co=$score_contrast, t=$score_text, b=$score_brand, e=$score_emotion, cl=$score_clarity; | ||
| const total = (f * 0.25) + (co * 0.20) + (t * 0.15) + (b * 0.15) + (e * 0.15) + (cl * 0.10); | ||
| console.log(total.toFixed(2)); | ||
| " 2>/dev/null) |
There was a problem hiding this comment.
No validation on score inputs — non-numeric values silently corrupt the database.
cmd_record_score accepts 6 score arguments (lines 519–525) without validating they're numeric or within the 1–10 range. Non-numeric input (e.g., "abc") produces NaN from node, which gets stored in SQLite, corrupting aggregation queries (avg, max). Add input validation before processing.
🛡️ Proposed fix — validate numeric input
cmd_record_score() {
local image_path="${1:?Image path required}"
local score_face="${2:?Face score required (1-10)}"
local score_contrast="${3:?Contrast score required (1-10)}"
local score_text="${4:?Text space score required (1-10)}"
local score_brand="${5:?Brand score required (1-10)}"
local score_emotion="${6:?Emotion score required (1-10)}"
local score_clarity="${7:?Clarity score required (1-10)}"
+ # Validate all scores are numbers between 1 and 10
+ local score_name score_val
+ for score_name in face contrast text brand emotion clarity; do
+ eval "score_val=\$score_${score_name}"
+ if ! [[ "$score_val" =~ ^[0-9]+(\.[0-9]+)?$ ]] || \
+ [[ $(node -e "console.log($score_val < 1 || $score_val > 10 ? 1 : 0)" 2>/dev/null) == "1" ]]; then
+ print_error "Invalid score for $score_name: $score_val (must be 1-10)"
+ return 1
+ fi
+ done
+
init_db📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| cmd_record_score() { | |
| local image_path="${1:?Image path required}" | |
| local score_face="${2:?Face score required (1-10)}" | |
| local score_contrast="${3:?Contrast score required (1-10)}" | |
| local score_text="${4:?Text space score required (1-10)}" | |
| local score_brand="${5:?Brand score required (1-10)}" | |
| local score_emotion="${6:?Emotion score required (1-10)}" | |
| local score_clarity="${7:?Clarity score required (1-10)}" | |
| init_db | |
| # Calculate weighted total | |
| local total | |
| total=$(node -e " | |
| const f=$score_face, co=$score_contrast, t=$score_text, b=$score_brand, e=$score_emotion, cl=$score_clarity; | |
| const total = (f * 0.25) + (co * 0.20) + (t * 0.15) + (b * 0.15) + (e * 0.15) + (cl * 0.10); | |
| console.log(total.toFixed(2)); | |
| " 2>/dev/null) | |
| cmd_record_score() { | |
| local image_path="${1:?Image path required}" | |
| local score_face="${2:?Face score required (1-10)}" | |
| local score_contrast="${3:?Contrast score required (1-10)}" | |
| local score_text="${4:?Text space score required (1-10)}" | |
| local score_brand="${5:?Brand score required (1-10)}" | |
| local score_emotion="${6:?Emotion score required (1-10)}" | |
| local score_clarity="${7:?Clarity score required (1-10)}" | |
| # Validate all scores are numbers between 1 and 10 | |
| local score_name score_val | |
| for score_name in face contrast text brand emotion clarity; do | |
| eval "score_val=\$score_${score_name}" | |
| if ! [[ "$score_val" =~ ^[0-9]+(\.[0-9]+)?$ ]] || \ | |
| [[ $(node -e "console.log($score_val < 1 || $score_val > 10 ? 1 : 0)" 2>/dev/null) == "1" ]]; then | |
| print_error "Invalid score for $score_name: $score_val (must be 1-10)" | |
| return 1 | |
| fi | |
| done | |
| init_db | |
| # Calculate weighted total | |
| local total | |
| total=$(node -e " | |
| const f=$score_face, co=$score_contrast, t=$score_text, b=$score_brand, e=$score_emotion, cl=$score_clarity; | |
| const total = (f * 0.25) + (co * 0.20) + (t * 0.15) + (b * 0.15) + (e * 0.15) + (cl * 0.10); | |
| console.log(total.toFixed(2)); | |
| " 2>/dev/null) |
🤖 Prompt for AI Agents
In @.agents/scripts/thumbnail-factory-helper.sh around lines 518 - 535, In
cmd_record_score validate each score argument (score_face, score_contrast,
score_text, score_brand, score_emotion, score_clarity) is numeric and within
1–10 before calling init_db or the node total calculation; if any value is
non-numeric or out of range, print a clear error and exit non-zero. Implement
the checks early in cmd_record_score (e.g., using a numeric test and range
comparison for each variable) and only proceed to run the node snippet and
insert into SQLite when all six values pass validation; ensure invalid inputs do
not reach the DB to avoid NaN entries breaking aggregates.
| IFS='|' read -r videos variants avg_score best_score passing winners avg_ctr <<< "$overall" | ||
|
|
||
| echo "Overall Statistics:" | ||
| echo " Videos tested: $videos" | ||
| echo " Total variants: $variants" | ||
| echo " Average score: $avg_score/10" | ||
| echo " Best score: $best_score/10" | ||
| echo " Passing variants: $passing (>=$THUMB_MIN_SCORE)" | ||
| echo " Winners declared: $winners" | ||
| echo " Average CTR: ${avg_ctr}%" |
There was a problem hiding this comment.
Arithmetic comparison on potentially empty variables if DB query fails.
If sqlite3 fails silently (line 840: 2>/dev/null), $overall is empty, and IFS='|' read on line 842 sets all variables (including $variants, $passing, $winners) to empty strings. The subsequent -lt / -eq comparisons (lines 917, 920, 923) will error out under set -e with "integer expression expected."
🔧 Proposed fix — default to zero
IFS='|' read -r videos variants avg_score best_score passing winners avg_ctr <<< "$overall"
+ variants="${variants:-0}"
+ passing="${passing:-0}"
+ winners="${winners:-0}"📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| IFS='|' read -r videos variants avg_score best_score passing winners avg_ctr <<< "$overall" | |
| echo "Overall Statistics:" | |
| echo " Videos tested: $videos" | |
| echo " Total variants: $variants" | |
| echo " Average score: $avg_score/10" | |
| echo " Best score: $best_score/10" | |
| echo " Passing variants: $passing (>=$THUMB_MIN_SCORE)" | |
| echo " Winners declared: $winners" | |
| echo " Average CTR: ${avg_ctr}%" | |
| IFS='|' read -r videos variants avg_score best_score passing winners avg_ctr <<< "$overall" | |
| variants="${variants:-0}" | |
| passing="${passing:-0}" | |
| winners="${winners:-0}" | |
| echo "Overall Statistics:" | |
| echo " Videos tested: $videos" | |
| echo " Total variants: $variants" | |
| echo " Average score: $avg_score/10" | |
| echo " Best score: $best_score/10" | |
| echo " Passing variants: $passing (>=$THUMB_MIN_SCORE)" | |
| echo " Winners declared: $winners" | |
| echo " Average CTR: ${avg_ctr}%" |
🤖 Prompt for AI Agents
In @.agents/scripts/thumbnail-factory-helper.sh around lines 842 - 851, The
IFS='|' read into overall can produce empty variables (videos, variants,
avg_score, best_score, passing, winners, avg_ctr) if the sqlite3 query fails,
causing integer comparisons later (the -lt/-eq checks referencing variants,
passing, winners) to blow up; after the IFS='|' read, coerce each numeric
variable to a safe default like 0 (e.g. reset variants, passing, winners,
videos, avg_score, best_score, avg_ctr to ${var:-0} or equivalent) so the later
numeric comparisons and percent formatting always operate on valid
integers/floats; apply this to the variables parsed from overall and any
variables used in the subsequent -lt/-eq checks.
|
|
||
| | Method | Cost | Quality | Setup | | ||
| |--------|------|---------|-------| | ||
| | DALL-E 3 (via script) | $0.08/img | High | Set OPENAI_API_KEY | |
There was a problem hiding this comment.
🧩 Analysis chain
🌐 Web query:
OpenAI DALL-E 3 API pricing per image 2025 2026 HD resolution
💡 Result:
As of February 10, 2026, OpenAI DALL·E 3 API pricing is per image (USD) and HD costs more than Standard:
| DALL·E 3 quality | Resolution | Price / image |
|---|---|---|
| Standard | 1024×1024 | $0.04 |
| Standard | 1024×1792 | $0.08 |
| Standard | 1792×1024 | $0.08 |
| HD | 1024×1024 | $0.08 |
| HD | 1024×1792 | $0.12 |
| HD | 1792×1024 | $0.12 |
Sources: OpenAI API Pricing page and DALL·E 3 model docs. [1], [2]
Update DALL-E 3 pricing from $0.08 to $0.12/img.
DALL-E 3 HD 1792×1024 resolution now costs $0.12 per image, not $0.08. Current pricing (as of February 2026): Standard resolutions at $0.08, but HD resolution at 1792×1024 requires $0.12. Update the table entry to reflect the correct cost.
🤖 Prompt for AI Agents
In @.agents/youtube/thumbnail-ab-testing.md at line 113, The table row for
"DALL-E 3 (via script)" currently shows a price of $0.08/img but HD 1792×1024
images cost $0.12/img; update that table entry to reflect "$0.12/img" (or
clarify "Standard $0.08/img, HD 1792×1024 $0.12/img") in the
.agents/youtube/thumbnail-ab-testing.md row that contains "DALL-E 3 (via
script)" so the pricing is accurate.
1 participant
Summary
thumbnail-factory-helper.shCLI tool for generating, scoring, and A/B testing multiple thumbnail variants per videoyoutube/thumbnail-ab-testing.mdsubagent documenting the full 5-phase pipelineWhat's New
thumbnail-factory-helper.sh(new script)SQLite-backed CLI with 10 commands:
brief,generate,score,record-score,batch-score,competitors,compare,ab-status,history,report.Key features:
youtube/thumbnail-ab-testing.md(new subagent)Full pipeline documentation covering:
Updated files
youtube.md— Added subagent, updated architecture diagram and workflowyoutube/optimizer.md— Cross-reference to thumbnail pipelineyoutube/pipeline.md— Added Worker 5 (thumbnails) with instructions and supervisor configcontent/optimization.md— Updated script reference from planned to implementedcontent/production/image.md— Cross-reference to thumbnail pipelinecontent/distribution/youtube/README.md— Added subagent to tablesubagent-index.toon— Registered new subagent and scriptQuality
helpcommand runs successfullyshared-constants.sh, usesprint_*functions, SQLite state managementTask
Closes t207: Thumbnail A/B testing pipeline
Summary by CodeRabbit