Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/code-saurabh/openskills/retro-engineernpx skills add CODE-SAURABH/OpenSkills --skill retro-engineergit clone --depth 1 https://github.com/CODE-SAURABH/OpenSkillsWhat it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00057 | $0.05765 |
| Opus 5 | $0.00028 | $0.02882 |
| Sonnet 5 | $0.00011 | $0.01153 |
| Haiku 4.5 | $0.00006 | $0.00577 |
Grade A, and why
retro-engineer scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 689 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Retro Engineer Skill
Overview
This skill guides you through a thorough, structured engineering retrospective. It operates in two distinct modes:
- Team Retro (Per-Person) — Analyses a single repository, breaking down contributions by individual team members: what they shipped, velocity trends, test health, praise, and growth areas.
- Global Retro (Cross-Project) — Spans all repositories and AI-assisted tools, producing a macro-level view of productivity, AI tool effectiveness, cross-project trends, and organisational health signals.
When in doubt about which mode to run, ask the user:
Which retro mode would you like?
- A) Team Retro — per-person breakdown for this repo/sprint
- B) Global Retro — cross-project, all AI tools, all repos
Step 0: Environment & Context Detection
Before starting any retro, gather environment context:
# Determine current repo
REPO_ROOT=$(git rev-parse --show-toplevel 2>/dev/null || echo "non-git")
REPO_SLUG=$(basename "$REPO_ROOT" 2>/dev/null || echo "global")
CURRENT_BRANCH=$(git branch --show-current 2>/dev/null || echo "unknown")
TODAY=$(date +%Y-%m-%d)
WEEK=$(date +%Y-W%V)
echo "REPO: $REPO_SLUG"
echo "BRANCH: $CURRENT_BRANCH"
echo "DATE: $TODAY"
echo "WEEK: $WEEK"
Identify the retro time window. Default is the last 7 days (weekly retro). If the user specifies a sprint length (e.g. 2 weeks, 4 weeks), use that window.
# Default: last 7 days
SINCE="7 days ago"
# For a 2-week sprint: SINCE="14 days ago"
# Always confirm with user if unclear
Mode A: Team Retro (Per-Person Breakdown)
Step A1: Collect Commit History
# Full commit log for the retro window with author details
git log \
--since="$SINCE" \
--format="%H|%an|%ae|%ad|%s" \
--date=short \
| sort > /tmp/retro_commits.txt
# Count commits per author
git shortlog \
--since="$SINCE" \
-sne \
| sort -rn > /tmp/retro_authors.txt
cat /tmp/retro_authors.txt
Step A2: Collect PR & Branch Activity
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2d ago First seen · 689 lines · 57 tokens per session scan A ff419062e2ca
retro-engineer is a skill published in the GitHub repository CODE-SAURABH/OpenSkills (2 stars, last pushed 1mo ago), licensed MIT. It adds 57 tokens to every session and 5,765 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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