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 agentmods add instructions/marcelocaporale/clean-process-ended/agents-mdgit clone --depth 1 https://github.com/MarceloCaporale/clean-process-endedWrote 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/instructions/marcelocaporale/clean-process-ended/agents-md)<a href="https://agentmods.dev/instructions/marcelocaporale/clean-process-ended/agents-md"><img src="https://agentmods.dev/badge/instructions/marcelocaporale/clean-process-ended/agents-md.svg" alt="Measured on agentmods" 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 | $0.01167 | $0.01167 |
| Opus 5 | $0.00583 | $0.00583 |
| Sonnet 5 | $0.00233 | $0.00233 |
| Haiku 4.5 | $0.00117 | $0.00117 |
Grade A, and why
clean-process-ended AGENTS.md 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 5d 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 — 135 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS
This repository is optimized for MCP-compatible AI agents, coding workflows and maintainers who need a fast, accurate map of the public surface.
Public name vs package names
- Public repository name:
clean-process-ended - npm package name:
clean-process-ended - MCP Registry name:
io.github.marcelocaporale/clean-process-ended - Main MCP command:
clean-process-ended-mcp - Local CLI commands:
cpe-scan,cpe-run
What this project is
- A local-first MCP process janitor for coding-agent workflows.
- A diagnostic and dry-run-first close-session tool.
- An ownership-first classifier that separates
owned_current_session,related_unownedandunknown_owner. - A managed lifecycle wrapper for subprocesses that should carry explicit process evidence.
- A source of sanitized receipts and audit bundles that can optionally be referenced by
codex-agent-mem.
What this project is not
- Not an automatic process killer.
- Not a name-based cleanup script.
- Not a daemon or OS service by default.
- Not a guarantee that every MCP host will call its tools after installation.
- Not a tool that should clean
related_unownedorunknown_ownerby default. - Not a secrets vault; command lines are not stored by default and should not be included in public evidence.
Working rules for agents
- Preserve the dry-run-first public surface.
- Never make real cleanup, auto-cleanup terminate or
--no-dry-runthe default. - Keep cleanup claims tied to explicit ownership evidence and policy gates.
- Keep compatibility with the optional
codex-agent-memreceipt contract. - Keep public docs free of private LAB paths, local audit dossiers and personal machine routes.
- Keep the language READMEs equivalent in content across languages.
- Do not tag, release, publish to npm or change GitHub release state from a dirty tree.
Fastest commands
npm ci
npm test
npm run check:syntax
npm run smoke:stdio
npm run validate:package:strict
npm run public-tree:check
npm run public-beta-candidate
node .\bin\cpe-scan.js janitor-discovery --client codex --json
node .\bin\cpe-scan.js session-close-check --project-key my-project --json
node .\bin\cpe-scan.js audit-bundle --output-dir .\evidence\cpe --json
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.
- 5d ago First seen · 135 lines · 1,167 tokens per session scan A 475ab72689b6
clean-process-ended AGENTS.md is an instructions file published in the GitHub repository MarceloCaporale/clean-process-ended (2 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 1,167 tokens to every session, about $0.0058 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.
Other instructions, from other repositories
DevWhale AGENTS.md
Instructions for tzz123-hub/DevWhale, covering agents.md, test commands and loop conventions.
cherry-studio AGENTS.md
AGENTS.md instructions for CherryHQ/cherry-studio, a project described as: AI productivity studio with smart chat, autonomous agents, and 300+ assistants. Unified access to frontier LLMs.
pcl copilot-instructions.md
Copilot instructions for personamanagmentlayer/pcl, covering project overview, pcl bootstrap system, core architecture principles, 1. compiler pipeline and 2. type system.
matt-skills-with-to-goal CLAUDE.md
Instructions for tt-a1i/matt-skills-with-to-goal: Skills are organized into bucket folders under skills/.
ephemeral-sandbox CLAUDE.md
Instructions for Ephemeral-AI-Lab/ephemeral-sandbox, covering claude.md, project, engineering practice (required), build & test and sandbox tools.
claude-code-vision-skill CLAUDE.md
Instructions for xiincs/claude-code-vision-skill, covering claude code visual inspection configuration and front-end page check workflow (mandatory).