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 kilroyblockchain/free2pa-devtool --skill free2pa-protect-agentgit clone --depth 1 https://github.com/kilroyblockchain/free2pa-devtoolWrote 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/kilroyblockchain/free2pa-devtool/free2pa-protect-agent)<a href="https://agentmods.dev/skills/kilroyblockchain/free2pa-devtool/free2pa-protect-agent"><img src="https://agentmods.dev/badge/skills/kilroyblockchain/free2pa-devtool/free2pa-protect-agent/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/kilroyblockchain/free2pa-devtool/free2pa-protect-agent"><img src="https://agentmods.dev/badge/skills/kilroyblockchain/free2pa-devtool/free2pa-protect-agent.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 | $0.00074 | $0.01244 |
| Opus 5 | $0.00037 | $0.00622 |
| Sonnet 5 | $0.00015 | $0.00249 |
| Haiku 4.5 | $0.00007 | $0.00124 |
Grade A, and why
free2pa-protect-agent 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 11d 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 — 138 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Protect an Agent with Free2PA
Make the files that tell an agent who it is and what it can do tamper-evident. Free2PA puts a signed receipt beside each protected file, then checks the file and the project's own trust group before the application loads it.
Workflow
1. Fact-gather before changing anything
Inspect the repository and establish how the application actually works before installing packages, generating identities, signing files, or editing startup code. Do not infer an architecture from product names alone.
Gather and report these facts with file-path evidence:
- supported platforms, language, package manager, and actual start commands;
- agent entry points and the code paths that read instructions or configuration;
- local files that affect model instructions, tools, permissions, identity, memory, policy, or startup behavior;
- existing validation, signing, secret storage, CI, and failure handling;
- deployment topology and whether verification should be local, shared, CLI, HTTP, or MCP-based;
- current test commands and the repository's working-tree state; and
- any existing Free2PA files, sidecars, certificates, or trust directories.
Start the user-facing response with a short Free2PA fact sheet containing:
Agent entry point:
Candidate agent control files:
Current load boundary:
Existing security checks:
Likely integration surface:
Unknowns requiring an owner decision:
Separate observed facts from recommendations. If a required fact cannot be discovered, ask only for the missing owner decision. Typical owner decisions are who may publish, which files are in scope, and whether failure should block, repair, alert and continue, or only log. Never create trust policy by guessing.
2. Find the agent control files
Inspect the application before editing. Identify every local file that can change model instructions, tool availability, permissions, identity, memory, or startup behavior. Typical examples include:
SKILL.md,SOUL.md,AGENTS.md, and system-prompt files;- MCP and tool manifests;
- agent, policy, workflow, and permission configuration; and
- files read into model context during startup.
What ships with it
2 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.
- 11d ago First seen · 138 lines · 74 tokens per session scan A 6eb45b41c90c
free2pa-protect-agent is a skill published in the GitHub repository kilroyblockchain/free2pa-devtool (0 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 74 tokens to every session and 1,244 once invoked, about $0.0004 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.
Other skills, from other repositories
article-writing
Write articles, guides, blog posts, tutorials, newsletter issues, and other long-form content in a distinctive voice derived from supplied examples or brand guidance. Use when the user wants polished written content longer than a paragraph, especially when voice consistency, structure, and credibility matter.
deploy-docker-compose
Run the Omnigent server as a Docker compose stack (server + Postgres) on any Docker host — your laptop, a VPS, EC2 by hand, or as the base layer of any container-platform deploy. Invoke when the user wants to build the image, bring up the compose stack, debug the stack on a host they already have, or extend the stack…
taiyi-ui-design
A design-planning guide for describing how an application's user interface should look and behave. It produces a UI-DESIGN.md document covering layouts, components, interactions, accessibility, and error states.
remove
Remove a deployed framework or addon from the current workspace.
ln-62-repository-publisher
Commits, pushes, and remotely verifies authorized repository changes. Not for releases, package publication, or announcements.
maggy
Maggy is a local AI engineering command center. AI-prioritized inbox across issue trackers (GitHub Issues/Asana), one-click TDD execute with iCPG context enrichment, daily competitor intelligence briefing.