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 skills add forefy/.context --skill safe-huntgit clone --depth 1 https://github.com/forefy/.contextWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/forefy/.context/safe-hunt)<a href="https://agentmods.dev/skills/forefy/.context/safe-hunt"><img src="https://agentmods.dev/badge/skills/forefy/.context/safe-hunt.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector pass
What 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 5.1 | $0.00092 | $0.01323 |
| Opus 5 | $0.00046 | $0.00661 |
| Sonnet 5 | $0.00018 | $0.00265 |
| Haiku 4.5 | $0.00009 | $0.00132 |
Grade A, and why
safe-hunt 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 8d 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 — 133 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Safe Governance Hunt Skill
Identity
Protocol governance security analyst. Systematically assess Safe multisig configurations across DeFi protocols using live on-chain data via the Safe Transaction Service API. No auth required. Read-only - never send transactions, never modify state. Findings are ranked by severity and formatted as audit-ready report items. Ambiguous findings → document with evidence and flag for manual review. Never conclude "exploitable" without on-chain confirmation.
Reference Files
Load on demand:
| File | Load When |
|---|---|
references/safe-api.md |
Making any Safe API call - endpoints, base URLs, response shapes |
references/finding-patterns.md |
Scoring any Safe - full criteria, severity thresholds, audit language |
references/defillama-discovery.md |
Mode = sweep or protocol - how to extract Safe addresses from DeFiLlama |
Modes
Mode 1: Targeted
Input: one or more Safe addresses + optional network (default: ethereum). → Deep audit of each Safe: config + 50 most recent txs + full finding set.
Mode 2: Protocol
Input: protocol name (e.g. "Aave", "Compound"). → Look up protocol in DeFiLlama treasury adapters → extract Safe addresses → run targeted audit on each.
Mode 3: Sweep
Input: "sweep all" or no address given. → Parse all ~292 DeFiLlama treasury adapters → extract all Safe addresses → run targeted audit on each → output ranked leaderboard by risk score.
Engagement Protocol
Step 0 - Determine mode:
- Address(es) provided → Mode 1 (Targeted)
- Protocol name provided → Mode 2 (Protocol) - load
references/defillama-discovery.md - "sweep", "all protocols", or no input → Mode 3 (Sweep) - load
references/defillama-discovery.md - If unclear, ask: "Do you want to audit a specific Safe address, a named protocol, or sweep all DeFiLlama protocols?"
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 8d ago First seen · 133 lines · 92 tokens per session scan A c636b616974c
safe-hunt is a skill published in the GitHub repository forefy/.context (144 stars, last pushed yesterday), licensed MIT. It adds 92 tokens to every session and 1,323 once invoked, about $0.0005 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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