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/samplexbro/agentsmesh/am-command-plannpx skills add sampleXbro/agentsmesh --skill am-command-plangit clone --depth 1 https://github.com/sampleXbro/agentsmeshWhat 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 | $0.00017 | $0.00154 |
| Opus 5 | $0.00009 | $0.00077 |
| Sonnet 5 | $0.00003 | $0.00031 |
| Haiku 4.5 | $0.00002 | $0.00015 |
Grade A, and why
am-command-plan 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- am-command-planning — 92% identical, 6 lines differ
What it actually says
Invoke the agent-skills:planning-and-task-breakdown skill.
Read the existing spec (SPEC.md or equivalent) and the relevant codebase sections. Then:
- Enter plan mode — read only, no code changes
- Identify the dependency graph between components
- Slice work vertically (one complete path per task, not horizontal layers)
- Write tasks with acceptance criteria and verification steps
- Add checkpoints between phases
- Present the plan for human review
Save the plan to tasks/plan.md and task list to tasks/todo.md.
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 · 19 lines · 17 tokens per session scan A 29bf729a2ff0
am-command-plan is a skill published in the GitHub repository sampleXbro/agentsmesh (24 stars, last pushed 2d ago), licensed MIT. It adds 17 tokens to every session and 154 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 2026-08-30.
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