Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add paulbaranowski/wild-horses/plugin install plan-keeperWrote 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/paulbaranowski/wild-horses/plan-clean)<a href="https://agentmods.dev/skills/paulbaranowski/wild-horses/plan-clean"><img src="https://agentmods.dev/badge/skills/paulbaranowski/wild-horses/plan-clean/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/paulbaranowski/wild-horses/plan-clean"><img src="https://agentmods.dev/badge/skills/paulbaranowski/wild-horses/plan-clean.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 | $0.00054 | $0.03027 |
| Opus 5.5 | $0.00022 | $0.01211 |
| Sonnet 5.5 | $0.00011 | $0.00605 |
| Haiku 4.5 | $0.00005 | $0.00303 |
Grade A, and why
plan-clean 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 21d 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 — 257 lines — stays where its author put it; the contents beside it link to each section on GitHub.
plan-clean
This skill checks every backlog, todo, and in-progress plan for one repo against the default branch.
It gives each plan one verdict: complete, partial, irrelevant, or open.
It archives the complete plans to done/ and prints the four lists.
Partial, irrelevant, and open plans stay where they are.
The bundled plan_keeper_cli.py does every write. This skill does the judging.
Calling this skill
- Input. The current repo, or one repo the user names. An optional dry-run phrase.
- Return. The four lists, with one evidence line per plan. The archived path of each complete plan.
- Does alone. Reads every
backlog,todo, andin-progressplan. Assigns one verdict each. Archives the complete plans with no second confirm. - Never. Never scans a second repo. Never edits a plan body. Never moves a partial, irrelevant, or open plan. Never archives on a guess.
Quick reference
- Scan set: active plans whose Status is
backlog,todo, orin-progress. A missing Status counts asbacklog. - Out of scope:
in-reviewplans, and everything indone/anddeferred/. <repo>: resolved once in step 1 and passed as--overrideto everylistcall. See ../../repo-derivation.md.- Writes:
file-meta set --status doneon each complete plan. Nothing else. - Pairs: a
.mdplan and its same-base-name siblings (usually a task-list.json) are one plan. The CLI moves the siblings with the plan, byte for byte. - Dry run: "dry run", "just show", or "don't archive yet". The report appears and nothing is written.
- Kind order: see ../../plan-kinds.md. The order is idea, prd, reqs, design, spec, exec-plan.
Procedure
Write every CLI call with the literal python3 "${CLAUDE_PLUGIN_ROOT}/scripts/plan_keeper_cli.py" prefix.
The plugin's approval hook matches only that prefix.
A shell variable does not survive to the next Bash call.
1. Determine the repo
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.
- 21d ago First seen · 257 lines · 54 tokens per session scan A ca6413606b18
plan-clean is a skill published in the GitHub repository paulbaranowski/wild-horses (14 stars, last pushed 10d ago), licensed MIT. It adds 54 tokens to every session and 3,027 once invoked, about $0.0002 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 2026-09-28.
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