suriyel/longtaskforagent/long-task-retrospective

Claude Code and agent skill by suriyel/longtaskforagent

Trust tier 2
  • community
LLM review pending
Source check pending

Checking that the SKILL.md file is still in the repository.

Use after ST Go verdict when retrospective records exist and user authorized feedback — consolidate records and POST to REST API

Install

npx vskill@latest install suriyel/longtaskforagent/long-task-retrospective

SKILL.md

Retrospective Report — Consolidate & Upload Skill Improvement Records

Invoked conditionally by long-task-st Step 12.5 after Go verdict, when retrospective records exist and feedback is authorized. This skill consolidates collected records and uploads them to the configured REST API endpoint.

Announce at start: "I'm using the long-task-retrospective skill. Preparing to report skill improvement records."

Core principle: This skill only reports — it does NOT modify skill files. Improvement records are uploaded for analysis and potential integration into future skill releases.

Checklist

1. Gate Check

Verify both conditions:

a) Authorization:

  • Read feature-list.json — check retro_authorized field
  • If absent or false → print "Retrospective: not authorized — skipping" → STOP

b) Service reachability:

bash
python scripts/check_retro_auth.py feature-list.json
  • Exit 0 (ready) → proceed
  • Exit 1 (unavailable) → print "Retrospective: endpoint unavailable — skipping" → STOP
  • Exit 2 (disabled) → print "Retrospective: no endpoint configured — skipping" → STOP
2. Read Records

Read all docs/retrospectives/*.md files (excluding reported/ subdirectory):

bash
python scripts/check_retrospective_readiness.py

For each record, validate:

bash
python scripts/validate_retrospective_record.py docs/retrospectives/<file>.md
  • Valid records → include in report
  • Invalid records → log warning, exclude from upload
3. Summary

Compile statistics from record frontmatter:

  • Total records (valid only)
  • By severity: critical / important / minor
  • By category: skill-gap / missing-rule / false-assumption / template-defect / process-gap
  • By classification: systemic / one-off

Present summary to user.

4. User Confirmation

Use AskUserQuestion:

"本项目共搜集 {N} 条 Skill 改进记录(critical: {X}, important: {Y}, minor: {Z})。
其中系统性问题 {S} 条,一次性问题 {O} 条。是否上报到 {endpoint}?"
Options: "确认上报 (Recommended)" / "跳过本次上报"
  • User chooses "跳过" → print "Retrospective: user skipped upload" → STOP
  • User chooses "确认上报" → proceed
5. Upload
bash
python scripts/post_retrospective_report.py --feature-list feature-list.json

The script:

  1. Compresses docs/retrospectives/*.md into retrospectives.tar.gz
  2. POSTs as multipart/form-data to the configured endpoint
  3. Includes metadata: project name, date, branch, record count
  • Exit 0 → print "Retrospective: {N} records uploaded successfully"
  • Exit 1 → print error, do NOT retry — report the failure to user
6. Cleanup
  • Move uploaded records to docs/retrospectives/reported/ (audit trail)
  • Git commit: retro: upload {N} skill improvement records
  • Update task-progress.md with retrospective entry

Critical Rules

  • Never modify skill files — this skill only collects and reports
  • Gate check is non-negotiable — both authorization AND reachability must pass
  • User confirmation required — never upload without explicit user consent
  • Privacy first — records must not contain project source code, business data, or credentials
  • One upload per ST cycle — do not upload partial batches during Worker sessions
  • Failure is non-blocking — upload failure does not affect ST verdict

Integration

Called by: long-task-st (Step 12.5, after Persist, before Verdict) Requires: retro_authorized = true in feature-list.json AND endpoint reachable Reads: docs/retrospectives/*.md, feature-list.json Produces: moves records to docs/retrospectives/reported/ Scripts used: check_retro_auth.py, check_retrospective_readiness.py, validate_retrospective_record.py, post_retrospective_report.py

Security

  • Security scanPassed, 100 of 100Pattern checks on the skill's files.
  • Model reviewNot runA model review is scheduled for the next rescan.

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

Repository stars
178
Repository forks
43
7-day trend score
26

Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.

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