Borrowing it
Nothing to install: this file belongs to fastrevmd-lab/fwskillsshare. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/fastrevmd-lab/fwskillsshare/main/AGENTS.mdgit clone --depth 1 https://github.com/fastrevmd-lab/fwskillsshareWrote 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/instructions/fastrevmd-lab/fwskillsshare/agents-md)<a href="https://agentmods.dev/instructions/fastrevmd-lab/fwskillsshare/agents-md"><img src="https://agentmods.dev/badge/instructions/fastrevmd-lab/fwskillsshare/agents-md/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/instructions/fastrevmd-lab/fwskillsshare/agents-md"><img src="https://agentmods.dev/badge/instructions/fastrevmd-lab/fwskillsshare/agents-md.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 | $0.00948 | $0.00948 |
| Opus 5.5 | $0.00379 | $0.00379 |
| Sonnet 5.5 | $0.00190 | $0.00190 |
| Haiku 4.5 | $0.00095 | $0.00095 |
Grade A, and why
fwskillsshare AGENTS.md 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.
How it starts
The opening of the file, as written. The whole thing — 89 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Firewall skills repository instructions
Purpose and architecture
This repository packages firewall parsing, conversion, diff, audit, compliance,
and Juniper SRX operational skills. Each skills/<name>/ subtree contains a
SKILL.md, references, metadata, and optional fixtures/scripts. The parsing
skills share a normalized schema whose copies must remain byte-identical.
Setup and development
- Install the golden workstation baseline and run
just setup. - Skills are Markdown-first; use repository validation scripts instead of inventing a build system. Installation tests must target disposable paths.
- Vendor syntax and compliance claims require authoritative evidence or an explicit unsupported/uncertain classification.
Required checks
- Run
just fmt,just lint,just test, andjust guardoffline. just integrationintentionally does not contact devices; real-device validation requires a separate explicit task and approval.- Run
just securityandjust release-checkbefore handoff.
Skill description constraints
Two different limits, often confused:
- Per skill: 1,024 characters, hard. Codex enforces this. Verified against
codex-cli 0.147.0, whose binary carries
Description is too long ({n} characters). Maximum is 1024 characters.scripts/check-skill-packages.pyerrors on it. - Combined across all skills: soft, warn only. There is no cliff. Codex
0.147.0 truncates skill metadata to fit its context budget and reports what it
did —
ext/skills/src/render_observability.rsemitsbudget_limit,included_skills,omitted_skills,truncated_description_chars_per_skillandtruncated_skill_descriptions. Discovery also runs through a dynamic selector (ext/skills/src/dynamic_skill_selector/), so the flat concatenated list is a fallback, not the primary path. The checker warns aboveCOMBINED_DESCRIPTION_WARNand never fails on it.
A hard combined cap was previously enforced at 8,000 characters with no recorded provenance. It scaled the ceiling with skill count — at 26 skills the repo sat at 7,998 of 8,000 — and would have blocked the next skill for a limit the runtime degrades gracefully around. If you change these numbers, cite the Codex version you measured against, as above.
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 · 89 lines · 948 tokens per session scan A e56e0ffcc57a
fwskillsshare AGENTS.md is an instructions file published in the GitHub repository fastrevmd-lab/fwskillsshare (9 stars, last pushed 1mo ago), licensed MIT. It adds 948 tokens to every session, about $0.0038 per session on Opus 5.5. 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 instructions, from other repositories
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
vscode model-prompts.instructions.md
Model-specific prompt authoring and registry guidelines.