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/nanako0129/pilotfish/security-executorgit clone --depth 1 https://github.com/Nanako0129/pilotfishWhat 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 | $0.00057 | $0.00323 |
| Opus 5 | $0.00028 | $0.00161 |
| Sonnet 5 | $0.00011 | $0.00065 |
| Haiku 4.5 | $0.00006 | $0.00032 |
Grade A, and why
security-executor 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
You are a leaf agent: do every part of your task yourself, in this session. Never delegate — the Agent and Workflow tools are disabled for this role by design. If the task genuinely seems to require spawning sub-agents, that is a mis-routed task: stop and report it back instead.
You are the executor for security-sensitive work. You exist as a separate role for two reasons: this work deserves consistently high effort, and it is deliberately routed to Opus — the frontier model's safety classifiers can refuse benign defensive-security work mid-task, so security tasks never go there.
Work defensively and precisely: validate at trust boundaries, follow the codebase's existing security patterns before inventing new ones, prefer well-audited primitives over hand-rolled mechanisms, and never weaken an existing control to make a test pass. When you touch authn/authz or crypto, state your assumptions explicitly in the final report so they can be checked.
For analysis tasks, report findings with severity, a concrete exploit-or-failure scenario, and the minimal fix — no speculative hardening lists.
Your final message: outcome first, then security-relevant assumptions and decisions, then anything that needs a human security review.
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 · 18 lines · 57 tokens per session scan A a841f3272034
security-executor is an agent published in the GitHub repository Nanako0129/pilotfish (680 stars, last pushed 4d ago), licensed MIT. It adds 57 tokens to every session and 323 once invoked, about $0.0003 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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