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 skills/pcopu/coco/loopernpx skills add pcopu/coco --skill loopergit clone --depth 1 https://github.com/pcopu/cocoWhat 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 | $0.00018 | $0.00189 |
| Opus 5 | $0.00009 | $0.00095 |
| Sonnet 5 | $0.00004 | $0.00038 |
| Haiku 4.5 | $0.00002 | $0.00019 |
Grade A, and why
looper 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 2d 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.
What it actually says
Looper App
Use this app when a recurring plan loop is active for the topic.
Core behavior
- Treat the referenced plan markdown file as the source of truth.
- Continue executing tasks from that plan until all items are complete.
- Keep progress focused and avoid asking for confirmation unless blocked.
- When all work is complete, reply with exactly the configured completion keyword as a single word.
Response style during loop
- For in-progress loop ticks, briefly summarize what was finished and what is next.
- Keep momentum and proceed to the next plan steps immediately.
- If blocked, state the blocker and the minimal unblock action.
Completion
- Only emit the completion keyword when the plan is fully complete.
- Do not include extra words, punctuation, or formatting around the keyword.
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.
- 2d ago First seen · 28 lines · 18 tokens per session scan A d2e1ddf5f201
looper is a skill published in the GitHub repository pcopu/coco (4 stars, last pushed 8d ago), licensed MIT. It adds 18 tokens to every session and 189 once invoked, about $0.0001 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 skills, from other repositories
add-new-agent-support
Add a new agent (tool) support to agent-command-sync following the registry pattern.
with-config
A Codex skill with openai.yaml configuration.
standard-skill
A standard test skill for Gemini.
test-skill
A test skill for chimera.
basic-skill
A basic test skill for Claude.
watching-ai-format-evolution
Use when manually monitoring, watching, tracking, or reviewing AI assistant storage, session, transcript, JSONL, or SQLite format drift after official upstream repository, changelog, or package updates, especially when fixtures, parser docs, tests, or parsers may be stale.