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 r13v/pi-feature-dev --skill retrogit clone --depth 1 https://github.com/r13v/pi-feature-devWrote 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/r13v/pi-feature-dev/retro)<a href="https://agentmods.dev/skills/r13v/pi-feature-dev/retro"><img src="https://agentmods.dev/badge/skills/r13v/pi-feature-dev/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/r13v/pi-feature-dev/retro"><img src="https://agentmods.dev/badge/skills/r13v/pi-feature-dev/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 | $0.00076 | $0.01578 |
| Opus 5.5 | $0.00030 | $0.00631 |
| Sonnet 5.5 | $0.00015 | $0.00316 |
| Haiku 4.5 | $0.00008 | $0.00158 |
Grade A, and why
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 today.
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 — 133 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Retro
Find the moments where a session struggled, and propose changes to the environment of the agent that prevent them next time. The environment is everything that the agent reads or runs: checks, pointers to files, review rules, steering files, tools, and access to information. Retro does not fix the code of the task, and it does not change anything that the user did not choose.
Evidence
Each candidate must point to one moment of this session or of a past run: a friction entry, a failed command, a finding, or a correction from the user. Drop a candidate that you cannot trace to such a moment, even when it is good general advice. Two candidates are exceptions: a repository with no guardrail, and a check to remove. The sections below describe them.
If no moment is left to learn from, say so and give no candidates. Do not invent candidates to fill the categories.
Read these sources:
- the current session;
- the progress file of the
shiprun, if there is one. ItsFrictionsection has one friction entry for each moment where the run struggled. Theshipskill describes the format of the entries; - the last 10 progress files that have
status: finishedand aFrictionsection, sorted bystarted, from all branches and worktrees. They are in theshipdirectory inside the directory thatgit rev-parse --path-format=absolute --git-common-dirprints. If the directory does not exist or this is not a git repository, skip this source. Use these files to find friction that repeats across runs. - the skill feedback file, when the current repository is the source of a skill. The section "Candidates about skills" describes it.
Categories
Sort each candidate into one category. The category tells where the fix goes.
- Navigation. The agent searched long for a file or a fact. Add a pointer to it from a file that the agent already reads.
- Automated checks. The agent made a mistake that a tool could catch. Add a lint rule, a type, a test, a pre-commit hook, or a CI job. First read the check commands and the CI workflows of the repository. If a check exists but does not run, the fix is to connect it. If the repository has no guardrail, that is no pre-commit hook and no CI job that runs its checks, report this as a candidate.
- Review rules. The diff review missed a mistake, or found the same kind
of mistake again. A confirmed final-check finding means that the diff
review missed it. A failed check that caught a mistake needs no candidate,
unless the failure repeats or cost much time. Classify the mistake first:
- A mechanical mistake, such as a banned API, an import shape, or a file in the wrong place, gets an automated check, not a rule in text.
- A judgement call, such as consistency across files or the style of the
surrounding code, gets a rule in the standards document of the
repository, such as
CONTRIBUTING.md. If the repository has no such document, propose to createCODING_STANDARDS.md. The reviewer reads this document. Do not put the rule inAGENTS.mdorCLAUDE.md.
- Steering files.
AGENTS.md,CLAUDE.md, or a similar file is large. Move its rules to the standards document or to a check, and keep pointers. - Tool economy. A tool call cost much for what it returned. Make the call narrower, or replace the tool.
- No-ops. A line in a steering file does not change what the agent does. Delete it.
- Information access. The agent needed information that it could not get. Give it access, such as a log file of the dev server or read-only access to a service.
What ships with it
1 file 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.
- today Changed · +14 lines e9be20c9ee51
- 9d ago First seen · 119 lines · 76 tokens per session scan A 8aa6554c4206
retro is a skill published in the GitHub repository r13v/pi-feature-dev (3 stars, last pushed 2d ago), licensed MIT. It adds 76 tokens to every session and 1,578 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 2026-10-24.
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