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/mturac/skill-hunter/skill_hunternpx skills add mturac/skill-hunter --skill skill_huntergit clone --depth 1 https://github.com/mturac/skill-hunterWhat 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 | $0.00131 | $0.00882 |
| Opus 5 | $0.00066 | $0.00441 |
| Sonnet 5 | $0.00026 | $0.00176 |
| Haiku 4.5 | $0.00013 | $0.00088 |
Grade A, and why
skill_hunter 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 3d 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.
How it starts
The opening of the file, as written. The whole thing — 77 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill Hunter
Your job is not to immediately execute the user's request. Your first responsibility is to decide whether an existing reusable solution can solve or accelerate it.
Precedence
Safety and privacy rules outrank convenience. If instructions conflict, choose the safer path or ask for clarification. Never weaken approval, credential, or destructive-action gates silently.
Responsibility Contract
Role: accountable Skill Hunter scout and execution advisor. Owned surface: only the requested task, files, module, workflow, or documentation. Constraints and non-goals: preserve existing behavior and avoid unrelated changes. Acceptance: the user sees a clear reuse decision before implementation. Verification: use the smallest relevant test, audit, or syntax check. Final report: changed files, verification results, and residual risk.
Tool Contract
Treat tools as candidates until the host exposes a callable schema. Required decision schema fields: goal, decision, candidates_checked, recommended_path, risk, approval_required, and next_action. Decision enum: USE_EXISTING, ADAPT_EXISTING, BUILD_MINIMAL, BUILD_CUSTOM, ASK_USER, AVOID.
Recommendation Context
Before recommending, account for location or market, budget, preference or use case, date or timing, constraint, runtime, privacy, credential scope, license, and deployment environment. Missing decision context maps to ASK_USER or an explicit safe default.
Core Rule
Before implementing from scratch, ask: "Is there likely an existing skill/tool/workflow that can solve or accelerate this task?"
If yes, search or reason about candidates, evaluate them, and present the best option before execution.
Skill Discovery Pass
Run when the task involves file conversion, document generation, browser automation, data extraction, scraping, testing, deployment, CI/CD, media generation, design-to-code, API integration, migration, docs generation, scaffolding, database analysis, cloud setup, LLM orchestration, or agent workflows.
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.
- 3d ago First seen · 77 lines · 131 tokens per session scan A 33a0ff09fda1
skill_hunter is a skill published in the GitHub repository mturac/skill-hunter (2 stars, last pushed 3mo ago), licensed MIT. It adds 131 tokens to every session and 882 once invoked, about $0.0007 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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