sg-deceptive-reachability-auditor

sg-deceptive-reachability-auditor is a skill for Claude Code from anyshift-io/sre-skills. It costs 253 tokens per session (3,675 once invoked), scanned A, original, Apache-2.0.

A skill that builds a graph of AWS security-group connections to find multi-step network paths between machines. AWS security groups are firewall rules, and the graph shows how one group can reach another through hosts using those groups.

In plain words
What is it for?
Use it to audit a fleet of security groups, find the shortest path from an entry point to sensitive systems, measure the possible blast radius, and identify groups that act as pivot points.
Why use it?
Reading each firewall rule separately can hide a complete path such as internet to web server to application to database. This audit combines the rules and instance memberships to reveal the actual reachable targets and where the analysis cannot be certain.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the sre-skills plugin — 5 skills shipped together

Good fit Use it to audit a fleet of security groups, find the shortest path from an entry point to sensitive systems, measure the possible blast radius, and identify groups that act as pivot points.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/anyshift-io/sre-skills/sg-deceptive-reachability-auditor
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.

Any agent
npx skills add anyshift-io/sre-skills --skill sg-deceptive-reachability-auditor
Clone the repo
git clone --depth 1 https://github.com/anyshift-io/sre-skills

Made for: Claude Code.

Or install sre-skills, the plugin that ships this one along with the rest of its 5 skills.

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 sg-deceptive-reachability-auditor

README.md
[![agentmods](https://agentmods.dev/badge/skills/anyshift-io/sre-skills/sg-deceptive-reachability-auditor/github.svg)](https://agentmods.dev/skills/anyshift-io/sre-skills/sg-deceptive-reachability-auditor)
Your own site
<a href="https://agentmods.dev/skills/anyshift-io/sre-skills/sg-deceptive-reachability-auditor"><img src="https://agentmods.dev/badge/skills/anyshift-io/sre-skills/sg-deceptive-reachability-auditor/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.

agentmods 80×15 button for sg-deceptive-reachability-auditor

Your own site · 80×15
<a href="https://agentmods.dev/skills/anyshift-io/sre-skills/sg-deceptive-reachability-auditor"><img src="https://agentmods.dev/badge/skills/anyshift-io/sre-skills/sg-deceptive-reachability-auditor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 253 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,675 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 5.1 $0.00253 $0.03675
Opus 5 $0.00127 $0.01837
Sonnet 5 $0.00051 $0.00735
Haiku 4.5 $0.00025 $0.00367

Measured 12d ago against content hash 9ec4d3495670, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

sg-deceptive-reachability-auditor 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 12d ago.

The scan reads SKILL.md. This mod also ships 12 executable files (tests/_deep.py, tests/_reach_engine.py, tests/_replay.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/sg-deceptive-reachability-auditor/SKILL.md · 248 lines

How it starts

The opening of the file, as written. The whole thing — 248 lines — stays where its author put it; the contents beside it link to each section on GitHub.

sg-deceptive-reachability-auditor

Reachability-audit skill for a fleet of AWS security groups. Takes the describe-security-groups output for the fleet (plus describe-instances for the instance-to-SG membership), composes the SG-to-SG references into a directed graph, and answers one question a per-rule read cannot: from a named entry point, what can actually be reached, and does any path reach the crown-jewel tier. It returns the shortest path, the blast radius, and any pivot hub, ranked by severity, then names exactly where the SG graph stops being able to answer the question.

The job is a graph problem, and the whole point of the skill is the composition the graph makes visible. A per-rule read sees "app accepts from web" and "db accepts from app" as two individually fine rules and never assembles that internet -> web -> app -> db is one reachable path. In a fleet of 10-13 security groups, that chain is buried among scoped tiers (bastion, monitoring, ci, ssm) and app-fed leaves (cache, queue, logs), and the loud 0.0.0.0/0 rule on the front door draws the eye away from it. This skill composes the edges instead of clearing each rule in isolation.

When to invoke

  • An agent is asked to review a security-group fleet for lateral movement, blast radius, or "can the internet reach the database."
  • A fleet is being shipped or changed and the question is whether a low-trust tier can reach a sensitive one transitively, not just directly.
  • An incident assumes a host is compromised and the question is what that foothold can pivot to.
  • A fleet looks segmented and the claim "the database is isolated" needs to be confirmed against the actual edges rather than taken on trust.

What this skill reads, and what it does not

It reads the static configuration of a fleet of security groups plus the instance-to-SG membership. Both are EC2 control-plane reads (describe-security-groups, describe-instances). That is the entire input. The audit is correct and complete for what the SG graph can tell you, and it is explicit about the rest. Reachability-on-paper is not exploitability, and every audit ends by naming the joins it cannot make:

Read the full file on GitHub · 248 lines

Files

What ships with it

39 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.

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. 12d ago First seen · 248 lines · 0 tokens per session scan A 9ec4d3495670

Subscribe to this mod's changes

sg-deceptive-reachability-auditor is a skill published in the GitHub repository anyshift-io/sre-skills (17 stars, last pushed 15d ago), licensed Apache-2.0. It adds 253 tokens to every session and 3,675 once invoked, about $0.0013 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 2026-08-30.

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