acl-rule-analysis SKILL.md skillA

acl-rule-analysis from leoyeai/openclaw-master-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add leoyeai/openclaw-master-skills/acl-rule-analysis@v1.0.0

Pins v1.0.0 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
leoyeai/openclaw-master-skills
Path
skills/acl-rule-analysis/SKILL.md
Versions recorded
1
Latest version
v1.0.0, committed Jun 29, 2026
Size
17,489 bytes
Repository stars
2,176
License
MIT

Vendor-agnostic ACL and firewall rule analysis with shadowed rule detection, overly permissive rule identification, unused rule discovery, redundant rule flagging, and rule ordering optimization. Covers ACLs (Cisco/JunOS/EOS) and firewall policies (PAN-OS/FortiGate/CheckPoint).

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# ACL and Firewall Rule Analysis

Vendor-agnostic rule analysis for access control lists and firewall policies.
Unlike vendor-specific firewall audit skills that evaluate platform features
(App-ID, Security Profile Groups, zone protection), this skill focuses on
universal rule patterns that apply across all platforms: shadowed rules,
redundant rules, overly permissive rules, and unused rules.

Covers ACL-based platforms (Cisco IOS/IOS-XE/ASA, Juniper JunOS, Arista EOS)
and policy-based firewalls (Palo Alto PAN-OS, Fortinet FortiGate, Check Point).
The analysis algorithms are vendor-agnostic — only the rule retrieval commands
differ by platform.

Commands use inline labels **[Cisco]**, **[JunOS]**, **[EOS]**, **[PAN-OS]**,
**[FortiGate]**, **[CheckPoint]** where syntax diverges. Unlabeled statements
apply universally. See `references/cli-reference.md` for full command tables
and `references/rule-patterns.md` for detection algorithm details.

## When to Use

- Post-migration rule cleanup after converting from one platform to another
- Periodic rulebase hygiene to remove accumulated technical debt
- Compliance preparation requiring rule-level justification and minimal privilege
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add leoyeai/openclaw-master-skills/acl-rule-analysis@sha256:410666b52d95a9c6

The line at the top of this page pins the label v1.0.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_sulivoq5xerx274t.svg)](https://markdownregistry.com/a/art_sulivoq5xerx274t)

0 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on Jun 29, 2026.

versioncommittedcommitsizeaudit
v1.0.0 latest2026-06-29 d85ea75 17,489 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (17489 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

leoyeai/openclaw-master-skills · 2,176 stars · license MIT · pushed 2026-11-04 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_sulivoq5xerx274t
GET https://markdownregistry.com/api/v1/resolve?ref=leoyeai/openclaw-master-skills/acl-rule-analysis
GET https://markdownregistry.com/api/v1/blob/410666b52d95a9c6d2aa425913554a0993ce1664a61cc8222964db0c60eb3fb4

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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