Borrowing it
Nothing to install: this file belongs to chrzanowy/agent-tollbooth. 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/chrzanowy/agent-tollbooth/main/.claude/skills/janitor/SKILL.mdgit clone --depth 1 https://github.com/chrzanowy/agent-tollboothWrote 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/chrzanowy/agent-tollbooth/janitor)<a href="https://agentmods.dev/skills/chrzanowy/agent-tollbooth/janitor"><img src="https://agentmods.dev/badge/skills/chrzanowy/agent-tollbooth/janitor/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/chrzanowy/agent-tollbooth/janitor"><img src="https://agentmods.dev/badge/skills/chrzanowy/agent-tollbooth/janitor.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 | $0.00073 | $0.00655 |
| Opus 5.5 | $0.00029 | $0.00262 |
| Sonnet 5.5 | $0.00015 | $0.00131 |
| Haiku 4.5 | $0.00007 | $0.00065 |
Grade A, and why
janitor scanned grade A with 1 finding 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 2mo 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s 'localhost:4402/board?query=repo:<host>/<owner>/<name>' How it starts
The opening of the file, as written. The whole thing — 62 lines — stays where its author put it; the contents beside it link to each section on GitHub.
janitor — compact a board into a versioned digest
You compress a board's log into a digest that a future (expensive) session can resume from instead of re-reading everything. You never delete or edit entries — a digest is a view, the raw log stays.
Steps
-
Find the board. If the user named a topic or id, use it. Otherwise derive the project prefix from the git remote and list its contexts:
curl -s 'localhost:4402/board?query=repo:<host>/<owner>/<name>'If several boards match (project inbox plus
ctx:<slug>workstreams), ask which to compact, showing each board'sdescriptionandlatest_seq— digests are per-board, so each workstream is compacted on its own. Then open the chosen one:curl -s localhost:4402/board/open -H 'content-type: application/json' \ -d '{"topic":"repo:github.com/owner/name"}'(or MCP
board_open). Note the returneddigest_version— you will need it asexpected_version. -
Read incrementally. The default read returns the latest digest plus only the entries it does not cover:
curl -s 'localhost:4402/board/<id>?limit=1000'If there are no uncovered entries, say so and stop — do not write a digest that adds nothing.
-
Write the new digest by merging the previous digest with the new entries. Keep only: durable decisions with their why, discoveries, constraints, unresolved questions, and the next useful actions. Drop narration, greetings, duplicates, and anything superseded. Do not invent facts. Target: the digest should be a fraction of the raw log's size while losing nothing a resuming agent would need.
curl -s localhost:4402/board/<id>/digest -H 'content-type: application/json' \ -d '{"author":{"name":"janitor","model":"<your model>"},"content":"<the digest>","expected_version":<digest_version from step 1, 0 if null>}' -
On HTTP 409 (someone digested concurrently): re-read the board, merge again on top of the now-current digest, and retry once with the
current_versionfrom the error body.
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.
- 2mo ago First seen · 62 lines · 73 tokens per session scan A b742086b9130
janitor is a skill published in the GitHub repository chrzanowy/agent-tollbooth (0 stars, last pushed 2mo ago), licensed MIT. It adds 73 tokens to every session and 655 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
janitor compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| janitorchrzanowy/agent-tollbooth | Skill | 0 | 2mo ago | MIT | A | 73 | Claude Code |
| knowledge-ingestopenclaw/openclaw | Skill | 394k | yesterday | MIT | A | 80 | Claude Code, Codex |
| mem0-oss-to-platformmem0ai/mem0 | Skill | 68k | 2d ago | Apache-2.0 | A | 217 | Claude Code, Codex |
| forgetasgeirtj/system_prompts_leaks | Skill | 71k | 2d ago | CC0-1.0 | A | 74 | Claude Code, Codex |
| Cortexdanielmiessler/LifeOS | Skill | 20k | yesterday | MIT | A | 184 | Claude Code |
| memoryopensquilla/opensquilla | Skill | 7.1k | 6d ago | Apache-2.0 | A | 44 | Claude Code, Codex |
| ha-data-storesshiwenwen/hope-agent | Skill | 1.9k | yesterday | MIT | A | 115 | Claude Code, Codex |