Borrowing it
Nothing to install: this file belongs to mreider/agilemarkdown. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/mreider/agilemarkdown/master/.claude/skills/am-retro/SKILL.mdgit clone --depth 1 https://github.com/mreider/agilemarkdownWrote 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/mreider/agilemarkdown/am-retro)<a href="https://agentmods.dev/skills/mreider/agilemarkdown/am-retro"><img src="https://agentmods.dev/badge/skills/mreider/agilemarkdown/am-retro/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/mreider/agilemarkdown/am-retro"><img src="https://agentmods.dev/badge/skills/mreider/agilemarkdown/am-retro.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00065 | $0.00817 |
| Opus 5 | $0.00032 | $0.00409 |
| Sonnet 5 | $0.00013 | $0.00163 |
| Haiku 4.5 | $0.00006 | $0.00082 |
Grade A, and why
am-retro 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 10d 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 — 95 lines — stays where its author put it; the contents beside it link to each section on GitHub.
am-retro
A retro is a moment to ask three questions: what worked, what didn't, what changes do we make. Pivotal teams ran them at the iteration boundary. This skill walks the human through one, using the data already in the repo.
When this fires
- Iteration boundary (the last accepted story for the iteration just landed, or the human says "wrap up").
- Human asks for a retro.
- User invokes
/am-retro.
What to do
-
Pull the iteration's data via MCP tools:
dashboard()for velocity, volatility, cycle time median, latest rejection rate.velocity_history(backlog=<name>)for recent iteration deltas.type_mix()for feature/bug/chore split.- Read
learnings.mdif present (via the file system; it is not a story file, so no MCP wrapper). - Read
team-agreements.mdif present.
-
Render a one-screen summary in this shape:
Iteration X retro Numbers: velocity: <n> pts (was <prev>) volatility: <n>% cycle time: <n>d (median) rejection rate: <n>% (target band 5-15%) type mix: feature <n>%, bug <n>%, chore <n>% What landed: - <story> (<type>, <pts>) ... What got rejected (if any): - <story>, <reason> ... Carryover: <items still in started/finished/delivered that did not accept> -
Ask the human three questions, one at a time, waiting between each:
-
What worked? Give them a moment. Then offer to record their answer to
learnings.mdvia therecord_learningtool. -
What did not work? Same shape. The signal here is the one that informs the next agreement or canon-tightening.
-
What changes for next iteration? This is where new working agreements come from. If the human names a behavior, a moment, and a default, propose adding it to
team-agreements.mdvia theteam_agreementstool withset:and the appended line.
-
-
If rejection rate is outside the 5-15% target band, surface that separately. Below 5% means the PM is not being careful enough; above 15% means the team is shipping work the PM does not want. Ask the human what they think is driving it.
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.
- 10d ago First seen · 95 lines · 65 tokens per session scan A 0c8773b8fd72
am-retro is a skill published in the GitHub repository mreider/agilemarkdown (7 stars, last pushed 3mo ago), licensed MIT. It adds 65 tokens to every session and 817 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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