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 nota-america/forgecat-agent-profiles --skill legal-responsegit clone --depth 1 https://github.com/nota-america/forgecat-agent-profilesWrote 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/nota-america/forgecat-agent-profiles/legal-response)<a href="https://agentmods.dev/skills/nota-america/forgecat-agent-profiles/legal-response"><img src="https://agentmods.dev/badge/skills/nota-america/forgecat-agent-profiles/legal-response/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/nota-america/forgecat-agent-profiles/legal-response"><img src="https://agentmods.dev/badge/skills/nota-america/forgecat-agent-profiles/legal-response.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 | $0.00056 | $0.03382 |
| Opus 5.5 | $0.00022 | $0.01353 |
| Sonnet 5.5 | $0.00011 | $0.00676 |
| Haiku 4.5 | $0.00006 | $0.00338 |
Grade A, and why
legal-response 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 1mo 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.
This is a copy
100% identical to legal-response — 8 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 462 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/legal-response -- Generate Response from Templates
If you see unfamiliar placeholders or need to check which tools are connected, see CONNECTORS.md (
.forgecat/profiles/@forgecat/anthropics_knowledge-work-plugins_legal/CONNECTORS.md).
Generate a response to a common legal inquiry using configured templates. Customizes the response with specific details and includes escalation triggers for situations that should not use a templated response.
Important: This command assists with legal workflows but does not provide legal advice. Generated responses should be reviewed by qualified legal professionals before being sent, especially for regulated communications.
Invocation
/legal-response [inquiry-type]
Common inquiry types:
dsrordata-subject-request-- Data subject access/deletion/correction requestsholdordiscovery-hold-- Litigation hold noticesvendororvendor-question-- Vendor legal questionsndaornda-request-- NDA requests from business teamsprivacyorprivacy-inquiry-- Privacy-related questionssubpoena-- Subpoena or legal process responsesinsurance-- Insurance claim notificationscustom-- Use a custom template
If no inquiry type is provided, ask the user what type of response they need and show available categories.
Workflow
Step 1: Identify Inquiry Type
Accept the inquiry type from the user. If the type is ambiguous, show available categories and ask for clarification.
Step 2: Load Template
Look for templates in local settings (e.g., legal.local.md or a templates directory).
If templates are configured:
- Load the appropriate template for the inquiry type
- Identify required variables (recipient name, dates, specific details)
If no templates are configured:
- Inform the user that no templates were found for this inquiry type
- Offer to help create a template (see Template Creation Guide below)
- Provide a reasonable default response structure based on the inquiry type
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.
- 1mo ago First seen · 462 lines · 56 tokens per session scan A c91c732e3035
legal-response is a skill published in the GitHub repository nota-america/forgecat-agent-profiles (93 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 56 tokens to every session and 3,382 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to legal-response, differing in 8 lines, and is treated as a copy.
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