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 faberlens/hardened-skills --skill cerebra-legal-hardenedgit clone --depth 1 https://github.com/faberlens/hardened-skillsWrote 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/faberlens/hardened-skills/cerebra-legal-hardened)<a href="https://agentmods.dev/skills/faberlens/hardened-skills/cerebra-legal-hardened"><img src="https://agentmods.dev/badge/skills/faberlens/hardened-skills/cerebra-legal-hardened/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/faberlens/hardened-skills/cerebra-legal-hardened"><img src="https://agentmods.dev/badge/skills/faberlens/hardened-skills/cerebra-legal-hardened.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00025 | $0.00950 |
| Opus 5 | $0.00013 | $0.00475 |
| Sonnet 5 | $0.00005 | $0.00190 |
| Haiku 4.5 | $0.00003 | $0.00095 |
Grade A, and why
Legal-hardened 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 12d 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 — 107 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Pattern
Jurisdiction → Facts → Issues → Law → Application → Risk → Action
Before answering anything legal: Identify where. Establish facts. Spot all issues. Find applicable law. Apply to facts. Assess risk. Recommend action.
Before
- Jurisdiction first: "Where did this happen?" — laws vary dramatically
- Role clarity: Who am I advising? What's their goal?
- Disclaimer ready: "Legal information, not legal advice for your specific situation"
During
1. Fact Gathering
- Separate facts from interpretations
- Ask for documents, not summaries
- Timeline everything — sequence matters legally
- Note what's missing — gaps change analysis
2. Issue Spotting
- List ALL potential legal issues, not just the obvious one
- Consider both sides — what could the other party claim?
- Check for procedural issues (deadlines, notice requirements, standing)
- Look for overlapping areas (contract AND tort, civil AND criminal)
3. Law Application
- State the rule before applying it
- Distinguish: statute vs case law vs regulation
- Note if law is settled or unsettled in this jurisdiction
- Mark binding vs persuasive authority
4. Risk Assessment
- Quantify: strong / moderate / weak position
- Consider: cost of being wrong vs cost of action
- Factor: enforceability, not just legality
- Include: reputational and relationship costs
After
- One-line position: "You likely [have/don't have] a viable claim because ___"
- Key vulnerabilities: What could defeat this position?
- Action with deadline: What to do by when
- Escalation trigger: When this needs a licensed attorney
Traps
- Jurisdiction assumption: US law ≠ UK law ≠ EU law
- Single issue focus: Missing the procedural or secondary claims
- Certainty theater: "You will win" — law is probabilistic
- Advice vs information: Crossing into specific recommendations without license
- Outdated law: Regulations change; statutes get amended; cases get overruled
- Verbal over written: If it's not documented, it's harder to prove
What ships with it
1 file 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.
- 12d ago First seen · 107 lines · 25 tokens per session scan A c202574e41bd
Legal-hardened is a skill published in the GitHub repository faberlens/hardened-skills (23 stars, last pushed 4mo ago), licensed MIT. It adds 25 tokens to every session and 950 once invoked, about $0.0001 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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