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 skills add rjmurillo/ai-agents --skill retrospectivegit clone --depth 1 https://github.com/rjmurillo/ai-agentsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/rjmurillo/ai-agents/retrospective)<a href="https://agentmods.dev/skills/rjmurillo/ai-agents/retrospective"><img src="https://agentmods.dev/badge/skills/rjmurillo/ai-agents/retrospective/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/rjmurillo/ai-agents/retrospective"><img src="https://agentmods.dev/badge/skills/rjmurillo/ai-agents/retrospective.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Prompt Injection · line 16 Hidden instructions were detected in comments or invisible text. These could contain malicious directives. Manual review is recommended.Fix: Audit all comments and invisible characters. Remove any instructions that direct the agent to perform unauthorized actions. Use plain, reviewable content.
What 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 5.1 | $0.00087 | $0.02824 |
| Opus 5.5 | $0.00035 | $0.01130 |
| Sonnet 5.5 | $0.00017 | $0.00565 |
| Haiku 4.5 | $0.00009 | $0.00282 |
Grade A, and why
retrospective 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 — 227 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Retrospective
Turn execution experience into institutional knowledge. This skill orchestrates a fixed
Phase 0 through Phase 5 workflow that gathers evidence, generates insights, diagnoses root
causes, decides actions, scores atomicity, and persists learnings. The long-form rubrics
live verbatim in references/; this file is the orchestration contract.
This skill replaces the former retrospective agent (.claude/agents/retrospective.md).
It is callable from Skill("retrospective") and from /retro fill <date> (Issue #2079).
The Stop hook that once invoked it automatically was deleted in #3349, so a
retrospective is written when someone asks for one.
Triggers
| Trigger Phrase | Operation |
|---|---|
run a retrospective |
Full Phase 0..5 workflow over the given scope |
retro fill |
Fill an unfilled auto-retro skeleton for a date |
extract learnings from this session |
Phase 0..4 over the current session |
diagnose this failure |
Phase 0..2 root-cause analysis, then stop |
what did we learn |
Phase 4 atomicity-scored learning extraction |
When to Use
| Situation | Use This Skill? |
|---|---|
A reflect pass produced a HIGH-confidence finding |
Yes |
main went red, or a merge was reverted or force-fixed |
Yes |
| The user corrected the work explicitly | Yes |
| A session ended and nothing above fired | No, a calendar is not a trigger |
An unfilled auto-retro skeleton exists in .project-toolkit/retrospective/ |
Yes (fill it) |
| Diagnosing why a task failed (Five Whys, fishbone) | Yes |
| Capturing a single in-conversation correction ("no", "wrong") | No, use reflect |
| Saving a quick checkpoint with no analysis | No, use /checkpoint |
What ships with it
6 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 Changed · +6 lines b7e8b9929397
- 18d ago Changed · +2 lines a74085a282e6
- 22d ago Changed · +5 lines 0777bca6bb03
- 24d ago Changed 4eebaf96e685
- 25d ago Changed · +2 lines f3d1646c57ce
- 1mo ago Changed · +5 lines 2c6e223cd984
- 1mo ago Changed 91ae9ec69e73
- 1mo ago First seen · 207 lines · 87 tokens per session scan A 6c7113d712a2
retrospective is a skill published in the GitHub repository rjmurillo/ai-agents (48 stars, last pushed today), licensed MIT. It adds 87 tokens to every session and 2,824 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-09-03.
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