agent-native-audit

agent-native-audit is a skill for Claude Code, Codex from jikig-ai/soleur. It costs 46 tokens per session (2,173 once invoked), scanned A, original, no licence file.

A review process for checking whether an application is designed well for AI agents. It scores areas such as available actions, supplied context, complete data operations, capability discovery, and features controlled through prompts.

In plain words
What is it for?
It helps audit agent access, context injection, CRUD operations, capability discovery, and prompt-based features across an application.
Why use it?
It can reveal places where agents lack the information or actions needed to complete the same jobs as other users.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

Needs its repository: it reads a path above its own folder, which exists only inside the repository. The line is **Dynamic-workflow alternative (opt-in).** A [`Workflow`-tool](https://claude.com/blog/introducing-dynamic-workflows-in-claude-code) port of this skill lives at.

Part of the soleur plugin — 54 skills, 2 commands, 1 hook shipped together

Good fit It helps audit agent access, context injection, CRUD operations, capability discovery, and prompt-based features across an application.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/jikig-ai/soleur
agentmods
npx agentmods add skills/jikig-ai/soleur/agent-native-audit

Made for: Claude Code, Codex.

Or install soleur, the plugin that ships this one along with the rest of its 54 skills, 2 commands, 1 hook.

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 agent-native-audit

README.md
[![agentmods](https://agentmods.dev/badge/skills/jikig-ai/soleur/agent-native-audit/github.svg)](https://agentmods.dev/skills/jikig-ai/soleur/agent-native-audit)
Your own site
<a href="https://agentmods.dev/skills/jikig-ai/soleur/agent-native-audit"><img src="https://agentmods.dev/badge/skills/jikig-ai/soleur/agent-native-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.

agentmods 80×15 button for agent-native-audit

Your own site · 80×15
<a href="https://agentmods.dev/skills/jikig-ai/soleur/agent-native-audit"><img src="https://agentmods.dev/badge/skills/jikig-ai/soleur/agent-native-audit.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 46 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,173 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 unknown 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 $0.00046 $0.02173
Opus 5 $0.00023 $0.01086
Sonnet 5 $0.00009 $0.00435
Haiku 4.5 $0.00005 $0.00217

Measured 5d ago against content hash 28d3bfd49b51, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

agent-native-audit 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 5d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (workflows/agent-native-audit.workflow.js), 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.

plugins/soleur/skills/agent-native-audit/SKILL.md · 288 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

Read it on GitHub

Files

What ships with it

1 file 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. 5d ago First seen · 288 lines · 46 tokens per session scan A 28d3bfd49b51

Subscribe to this mod's changes

agent-native-audit is a skill published in the GitHub repository jikig-ai/soleur (15 stars, last pushed today), with no licence file. It adds 46 tokens to every session and 2,173 once invoked, about $0.0002 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 2026-09-03.