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/rhawk117/agentmaster/agentmaster-plannpx skills add rhawk117/agentmaster --skill agentmaster-plangit clone --depth 1 https://github.com/rhawk117/agentmasterWhat 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 | $0.00084 | $0.00224 |
| Opus 5 | $0.00042 | $0.00112 |
| Sonnet 5 | $0.00017 | $0.00045 |
| Haiku 4.5 | $0.00008 | $0.00022 |
Grade A, and why
agentmaster-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 yesterday.
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
This skill is a router. The pipeline runs inside the agentmaster-plan
custom agent, which carries the frontier model pin and the agent/todo-only
tool restriction that enforces the cost boundary.
Invoke the agentmaster-plan custom agent now, passing the user's task and
any --lite or --headless flags verbatim. Do not run the pipeline inline
in this session — the cost boundary depends on the coordinator's restricted
toolset. If the custom agent is not available, tell the user to run
python install.py install --target copilot from the agentmaster bundle.
Task: $ARGUMENTS
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.
- yesterday First seen · 17 lines · 84 tokens per session scan A 60f34033fd41
agentmaster-plan is a skill published in the GitHub repository rhawk117/agentmaster (1 stars, last pushed 1mo ago), licensed MIT. It adds 84 tokens to every session and 224 once invoked, about $0.0004 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.
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