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.
npx skills add eco-ansible-content/agentic-workflows --skill ansible-module-auditgit clone --depth 1 https://github.com/eco-ansible-content/agentic-workflowsWrote 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/skills/eco-ansible-content/agentic-workflows/ansible-module-audit)<a href="https://agentmods.dev/skills/eco-ansible-content/agentic-workflows/ansible-module-audit"><img src="https://agentmods.dev/badge/skills/eco-ansible-content/agentic-workflows/ansible-module-audit/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/skills/eco-ansible-content/agentic-workflows/ansible-module-audit"><img src="https://agentmods.dev/badge/skills/eco-ansible-content/agentic-workflows/ansible-module-audit.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 | $0.00059 | $0.04078 |
| Opus 5 | $0.00030 | $0.02039 |
| Sonnet 5 | $0.00012 | $0.00816 |
| Haiku 4.5 | $0.00006 | $0.00408 |
Grade A, and why
ansible-module-audit scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
| HTTP/REST calls (`requests`, `urllib`, `open_url`, SDK client methods) | **REST API** | Search for platform REST API reference | How it starts
The opening of the file, as written. The whole thing — 424 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Ansible Module Audit
Audits a single Ansible module for quality and completeness across five dimensions. Platform-agnostic — works on any Ansible collection (Windows/PowerShell, cloud/REST, network/CLI, Linux/command).
Usage
/ansible-module-audit scvmm_cloud
/ansible-module-audit ec2_instance
/ansible-module-audit ios_config
The argument is a module name from the collection in the current working directory.
When to Use
- After implementing a module — to verify completeness before PR
- During code review — to assess module quality objectively
- Before release — to audit modules for gaps
Execution Steps
Follow these steps exactly. Do NOT ask clarifying questions — research autonomously.
Step 0: Resolve Paths and Detect Platform
Extract the module name from the user's argument. Determine the collection root from the current working directory. Read galaxy.yml to get the collection namespace and name.
Locate module files:
find plugins/modules/ -name "<module_name>.*" -type f
Determine the module type from what exists:
| Files found | Module type | Platform |
|---|---|---|
.py + .ps1 |
PowerShell module | Windows (SCVMM, AD, Exchange, etc.) |
.py only |
Python module | Cloud, network, Linux, or any non-Windows |
Read ALL module files found.
Locate shared utilities:
find plugins/module_utils/ -type f \( -name "*.py" -o -name "*.psm1" -o -name "*.ps1" \)
Read all module_utils files to catalog available shared functions/classes.
Locate integration tests:
Check these paths in order for a test target:
tests/integration/targets/<module_name>/— exact matchtests/integration/targets/<base_name>/— for_infomodules, try the base name (e.g.,ec2_instanceforec2_instance_info)- If neither exists, mark tests as missing (dimensions 3-5 score 0).
If a test target is found, read all YAML files under it recursively.
Identify the platform's API surface type:
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.
- 8d ago First seen · 424 lines · 59 tokens per session scan A 3398946b8dca
ansible-module-audit is a skill published in the GitHub repository eco-ansible-content/agentic-workflows (2 stars, last pushed 15d ago), licensed MIT. It adds 59 tokens to every session and 4,078 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other skills, from other repositories
autoreview
Pre-commit/ship code review: Codex default; optional Claude or Pi.
rework-rate
Measure and interpret PR rework rate — the emerging 5th DORA metric.
omh-code-review
This is a Hermes-native code-review workflow skill.
revdiff-plan
Review the last Codex assistant message (plan, analysis, or proposal) with inline annotations in a TUI overlay. Extracts the most recent response from Codex rollout files and opens it in revdiff for review and annotation. Activates on "revdiff-plan", "review plan with revdiff", "annotate plan", "review last response"…
code-reviewer
Code review specialist focused on patterns, bugs, security, and performance.
agent-teams-simplify-and-harden
Implementation + audit loop using parallel agent teams with structured simplify, harden, and document passes. Spawns implementation agents to do the work, then audit agents to find complexity, security gaps, and spec deviations, then loops until code compiles cleanly, all tests pass, and auditors find zero issues or…