posture

posture is a skill for Claude Code from prajapatimehul/comp-agent. It costs 10 tokens per session (589 once invoked), scanned A, original, MIT.

A read-only command that summarizes compliance findings, meaning checks of whether systems follow required security or regulatory rules.

In plain words
What is it for?
Use it to review the current compliance status of an AWS account after findings have been collected.
Why use it?
It turns individual finding files into a quick view of open issues, severity, affected services, and progress.

Skill for Claude Code

Written for Claude Code: user-invocable in frontmatter. Also seen: mentions subagents.

Part of the compliance-pilot plugin — 4 skills, 3 agents, 1 hook, 1 MCP server shipped together

Good fit Use it to review the current compliance status of an AWS account after findings have been collected.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/prajapatimehul/comp-agent/posture
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 prajapatimehul/comp-agent --skill posture
Clone the repo
git clone --depth 1 https://github.com/prajapatimehul/comp-agent

Made for: Claude Code.

Or install compliance-pilot, the plugin that ships this one along with the rest of its 4 skills, 3 agents, 1 hook, 1 MCP server.

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 posture

README.md
[![agentmods](https://agentmods.dev/badge/skills/prajapatimehul/comp-agent/posture.svg)](https://agentmods.dev/skills/prajapatimehul/comp-agent/posture)
Your own site
<a href="https://agentmods.dev/skills/prajapatimehul/comp-agent/posture"><img src="https://agentmods.dev/badge/skills/prajapatimehul/comp-agent/posture.svg" alt="Measured on agentmods" height="20"></a>
Per session 10 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 589 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.
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 $0.00010 $0.00589
Opus 5 $0.00005 $0.00295
Sonnet 5 $0.00002 $0.00118
Haiku 4.5 $0.00001 $0.00059

Measured 8d ago against content hash f9aa0841c42f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

posture 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 8d 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.

skills/posture/SKILL.md · 85 lines

What it actually says

/posture

Show a quick compliance posture summary. Read-only — does not spawn subagents.

Instructions

Do NOT use the Agent tool. Handle this directly.

1. Read All Findings

Use Glob to find all .compliance/findings/FINDING-*.json files, then Read each one.

If no findings exist, report:

No findings found. Run /scan first to assess your AWS account.

2. Compute Statistics

Count findings by:

  • Status: open, in_progress, remediated, verified, skipped
  • Severity: critical, high, medium, low
  • Service: group by source.service
  • Framework: group by compliance[].framework

Calculate compliance percentage:

compliance% = (verified + skipped) / total * 100

3. Display Summary

# Compliance Posture

Last scan: {most recent scanId from findings}
Total findings: {n}

## By Status
| Status | Count |
|--------|-------|
| Open | {n} |
| In Progress | {n} |
| Remediated | {n} |
| Verified | {n} |
| Skipped | {n} |

## By Severity
| Severity | Open | Fixed | Total |
|----------|------|-------|-------|
| Critical | {n} | {n} | {n} |
| High | {n} | {n} | {n} |
| Medium | {n} | {n} | {n} |
| Low | {n} | {n} | {n} |

## By Framework
| Framework | Controls Hit | Findings | Verified | Score |
|-----------|-------------|----------|----------|-------|
| SOC 2 | {n unique controls} | {n} | {n} | {%} |
| HIPAA | {n unique controls} | {n} | {n} | {%} |

## By Service
| Service | Open | Fixed | Total |
|---------|------|-------|-------|
| s3 | {n} | {n} | {n} |
| iam | {n} | {n} | {n} |
| ... | ... | ... | ... |

## Top Open Issues
{List top 5 open findings by severity, with finding ID, check title, and resource}

4. Framework Filter

If $ARGUMENTS contains --framework soc2 or --framework hipaa:

  • Only show findings mapped to that framework
  • Adjust all counts accordingly
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. 8d ago First seen · 85 lines · 10 tokens per session scan A f9aa0841c42f

Subscribe to this mod's changes

posture is a skill published in the GitHub repository prajapatimehul/comp-agent (5 stars, last pushed 6mo ago), licensed MIT. It adds 10 tokens to every session and 589 once invoked, about $0.0001 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.

Related

Other skills, from other repositories

specification-writing

A workflow for writing complete patent specifications from patent claims and an invention disclosure. It adapts the document to a chosen jurisdiction, such as the US, Europe, or China.

wanshuiyin/Auto-claude-code-research-in-sleep · 49 tokens

regulatory-research-fallback

Fallback workflow for regulatory research when web extraction tools fail on government PDFs.

HKUDS/OpenSpace · 20 tokens

x-scorecard

OpenSSF Scorecard for assessing open source project security. Check security best practices and compliance. Dependency: This is an x-cmd module. Install x-cmd first (see x-cmd skill for installation options). see x-cmd skill for installation.

x-cmd/x-cmd · 57 tokens

gesellschaftsrechtliche-satzungen-agb

Für Gesellschaftsrechtliche Satzungen AGB Abgrenzung: ordnet Norm, Beweislast und Gegenargument; Ergebnis: Prüfprodukt mit Risiko und nächstem Schritt. Fachgebiet: AGB-Recht-Prüfer. Route: gesellschaftsrechtliche-satzungen-agb.

Klotzkette/claude-fuer-deutsches-recht · 69 tokens

memstack-business-gdpr

Use this skill when the user says 'GDPR', 'data protection', 'privacy compliance', 'DPA', 'DSAR', 'data subject request', 'cookie consent', 'privacy audit', 'CCPA', or asks 'do I need GDPR for this repo'. Scans the repository to detect what personal data is collected, classifies sensitivity, determines whether GDPR…

cwinvestments/memstack · 121 tokens

nda-review

Use when the user uploads or pastes a non-disclosure agreement and asks for review, redline, risk assessment, or a recommendation on whether to sign. Identifies missing standard protections, one-sided or unusual provisions, and operational issues; produces a structured report with severity ratings and citations to…

LegalQuants/lq-ai · 79 tokens