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/personalitynpx skills add pcopu/coco --skill personalitygit 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 | $0.00022 | $0.00161 |
| Opus 5 | $0.00011 | $0.00081 |
| Sonnet 5 | $0.00004 | $0.00032 |
| Haiku 4.5 | $0.00002 | $0.00016 |
Grade A, and why
personality 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
Personality App
Use this app when you want Coco to study yesterday's topic activity and send a short morning note about what worked, what did not, and what the user seems to prefer.
Core behavior
- Read the Telegram-visible memory log for the prior day.
- Split activity into sessions based on idle gaps.
- Look for recurring interests, success signals, and frustration signals.
- Deliver a short topic-specific summary at 9am server time when there was activity yesterday.
Notes
- This app is enabled per topic through
/apps. - The first implementation keeps the summary simple and grounded in visible Coco chat history.
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 · 22 lines · 22 tokens per session scan A 3e0d968ff1f4
personality is a skill published in the GitHub repository pcopu/coco (4 stars, last pushed 9d ago), licensed MIT. It adds 22 tokens to every session and 161 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.