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.
git clone --depth 1 https://github.com/minicoohei/ai-agent-campWrote 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/commands/minicoohei/ai-agent-camp/start-11-3)<a href="https://agentmods.dev/commands/minicoohei/ai-agent-camp/start-11-3"><img src="https://agentmods.dev/badge/commands/minicoohei/ai-agent-camp/start-11-3/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/commands/minicoohei/ai-agent-camp/start-11-3"><img src="https://agentmods.dev/badge/commands/minicoohei/ai-agent-camp/start-11-3.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 | $0.00002 | $0.03972 |
| Opus 5 | $0.00001 | $0.01986 |
| Sonnet 5 | $0.00000 | $0.00794 |
| Haiku 4.5 | $0.00000 | $0.00397 |
Grade B, and why
start-11-3 scanned grade B with 2 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.
Sends data to an external URLmediumData exfiltration
A POST to an outside endpoint may be telemetry or may be exfiltration; either way the mod talks to somewhere, and you should know where.
curl -X POST -H "Content-Type: application/json" -d '{"text":"テスト"}' $SLACK_WEBHOOK でローカルから直接テストしてください。404 の場合は Webhook を再作成してください。 Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
resp = requests.get(url, timeout=30) The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
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 · 462 lines · 2 tokens per session scan B 9195c6dcd98c
start-11-3 is a command published in the GitHub repository minicoohei/ai-agent-camp (348 stars, last pushed 8d ago), with no licence file. It adds 2 tokens to every session and 3,972 once invoked, about $0.0000 per session on Opus 5. A static security scan graded it B with 2 findings (sends data to an external url, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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channel-digest
Get a digest of recent activity across multiple Slack channels.
summarize-channel
Summarize recent activity in a Slack channel.
adhoc-flow
Workflow for the rest of tasks: lightweight documentation, build, track, synchronize, etc.
prep
Prepare the meeting. One page from the record.
vault-recap
Generate a period review from vault activity.
handoff
Show handoff status — tracked projects and install health.