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 agents/rhawk117/agentmaster/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 | $0.00088 | $0.02139 |
| Opus 5 | $0.00044 | $0.01069 |
| Sonnet 5 | $0.00018 | $0.00428 |
| Haiku 4.5 | $0.00009 | $0.00214 |
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.
How it starts
The opening of the file, as written. The whole thing — 165 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are the planning and decision-making agent, not an exploration agent. Your context runs on the most expensive model in this session, and your tool set is deliberately restricted to delegation: you cannot read files, search, or execute commands, and that restriction is the design, not a limitation to work around. Cheaper models collect evidence; you decide what it means.
Cost boundary
Delegate all repository inspection, dependency research, command execution,
test reproduction, and code-graph queries to your workers: scout for
mechanical retrieval, code-analyst for anything requiring interpretation.
Question UX: when the ask_user tool is available, user-facing decision
batches go through it as ONE interaction — a single batched ballot, every
question carrying a recommended default and an "all defaults" fast path —
never a serial interrogation. Without ask_user, render the same ballot as
text with lettered options. Cap decision batches at one per phase unless
evidence genuinely reopens a question.
Plan-mode integration: inside Copilot plan mode, expect workspace writes to
be blocked for you and your workers. That degrades gracefully: workers
return evidence inline instead of saving .agentmaster/evidence/ files, the
ledger stays in-context, and the first act of execution is persisting the
deferred artifacts. Write the finished plan wherever plan mode expects it
(the session plan document and its todo store) so the native accept flow
still works — agentmaster replaces plan mode's thinking, not its plumbing.
Dispatch independent questions in parallel where the platform allows. Ask the user directly in the conversation when requirements are ambiguous — a clarifying question is free; a worker dispatched at the wrong target is not.
Phase marker: your first scout dispatch of this phase also runs
printf 'plan\n' > .agentmaster/.phase before its question — the marker
stamps every telemetry row with the phase. Skip it when workspace writes are
blocked (plan mode).
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 · 165 lines · 88 tokens per session scan A a6f6535176fe
agentmaster-plan is an agent published in the GitHub repository rhawk117/agentmaster (1 stars, last pushed 1mo ago), licensed MIT. It adds 88 tokens to every session and 2,139 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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