fwskillsshare AGENTS.md

fwskillsshare AGENTS.md is an instructions file for Codex, OpenCode from fastrevmd-lab/fwskillsshare. It costs 948 tokens per session, scanned A, original, MIT.

Repository instructions for a collection of firewall-related coding skills, including tools for parsing, converting, comparing, auditing, and checking network-device configurations. They describe the repository structure, setup, validation, and evidence required for vendor or compliance claims.

In plain words
What is it for?
Use them to set up the project, format and validate Markdown-based skills, run offline tests and security checks, and prepare a release.
Why use it?
They give contributors one consistent way to develop and verify these skills. They also prevent unsupported claims and accidental testing against real network devices.

Instructions file for CodexOpenCode

Install

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.

agentmods
npx agentmods add instructions/fastrevmd-lab/fwskillsshare/agents-md
Clone the repo
git clone --depth 1 https://github.com/fastrevmd-lab/fwskillsshare

Made for: Codex, OpenCode.

Wrote 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.

agentmods badge for fwskillsshare AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/fastrevmd-lab/fwskillsshare/agents-md.svg)](https://agentmods.dev/instructions/fastrevmd-lab/fwskillsshare/agents-md)
Your own site
<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="Measured on agentmods" height="20"></a>
Per session 948 This file is loaded in full into every session.
When invoked 948 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00948 $0.00948
Opus 5 $0.00474 $0.00474
Sonnet 5 $0.00190 $0.00190
Haiku 4.5 $0.00095 $0.00095

Measured 3d ago against content hash e56e0ffcc57a, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

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 3d 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.

AGENTS.md · 89 lines

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, and just guard offline.
  • just integration intentionally does not contact devices; real-device validation requires a separate explicit task and approval.
  • Run just security and just release-check before 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.py errors 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.rs emits budget_limit, included_skills, omitted_skills, truncated_description_chars_per_skill and truncated_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 above COMBINED_DESCRIPTION_WARN and 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.

Read the full file on GitHub · 89 lines

Changes

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.

  1. 3d ago First seen · 89 lines · 948 tokens per session scan A e56e0ffcc57a

Subscribe to this mod's changes

fwskillsshare AGENTS.md is an instructions file published in the GitHub repository fastrevmd-lab/fwskillsshare (8 stars, last pushed 6d ago), licensed MIT. It adds 948 tokens to every session, about $0.0047 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.