skill-reviewer

skill-reviewer is an agent for coding agents from Agentic-Insights/foundry. It costs 30 tokens per session (2,668 once invoked), scanned A, original, Apache-2.0.

A checker for one or more Agent Skills, which are instruction packages that give coding agents specific abilities. It examines each skill's files and reports whether they follow the required format.

In plain words
What is it for?
Use it to review a skill library or validate individual skill folders against the Agent Skills specification.
Why use it?
It finds missing files, invalid configuration, and other compliance problems before a skill is shared or used. For several skills, it can validate them in parallel and combine the results.

Agent

Part of the build-agent-skills plugin — 1 skill, 1 agent shipped together

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.

agentmods
npx agentmods add agents/agentic-insights/foundry/skill-reviewer
Clone the repo
git clone --depth 1 https://github.com/Agentic-Insights/foundry

Or install build-agent-skills, the plugin that ships this one along with the rest of its 1 skill, 1 agent.

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 skill-reviewer

README.md
[![agentmods](https://agentmods.dev/badge/agents/agentic-insights/foundry/skill-reviewer.svg)](https://agentmods.dev/agents/agentic-insights/foundry/skill-reviewer)
Your own site
<a href="https://agentmods.dev/agents/agentic-insights/foundry/skill-reviewer"><img src="https://agentmods.dev/badge/agents/agentic-insights/foundry/skill-reviewer.svg" alt="Measured on agentmods" height="20"></a>
Per session 30 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,668 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00030 $0.02668
Opus 5 $0.00015 $0.01334
Sonnet 5 $0.00006 $0.00534
Haiku 4.5 $0.00003 $0.00267

Measured 3d ago against content hash ba59b9389cbe, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

skill-reviewer 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 3d 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.

plugins/build-agent-skills/agents/skill-reviewer.md · 370 lines

How it starts

The opening of the file, as written. The whole thing — 370 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Skill Reviewer Subagent

Validate individual Agent Skills for specification compliance. Design supports parallel execution for batch validation.

Overview

This subagent examines a single skill directory and produces a structured validation report. It can run multiple instances in parallel to validate entire plugin skill libraries.

Typical use case:

INPUT: skill_directories = [skill1_path, skill2_path, skill3_path, ...]
  ↓
Run 3 parallel instances of skill-reviewer
  ↓
Aggregate reports into combined summary
  ↓
OUTPUT: { total: 3, passed: 2, failed: 1, warnings: 1, ... }

Validation Workflow

Step 1: Verify SKILL.md Exists

  • Check: <input_path>/SKILL.md exists
  • Error if: File missing or inaccessible
  • Severity: Critical (skill is invalid without it)

Step 2: Parse Frontmatter

  • Extract YAML frontmatter between --- delimiters
  • Extract required fields: name, description
  • Extract optional fields: license, compatibility, metadata, allowed-tools
  • Error if: YAML is invalid (syntax error)
  • Error if: Required fields missing

Step 3: Validate Required Fields

Name field:

  • Pattern: ^[a-z0-9]+(-[a-z0-9]+)*$ (lowercase alphanumeric-hyphens)
  • Length: 1-64 characters
  • Constraint: MUST match parent directory name
  • Error if: Pattern invalid or name doesn't match directory
  • Severity: Critical

Description field:

  • Length: 1-1024 characters
  • Error if: Too short (<10 chars) or too long (>1024)
  • Warning if: Missing "Use when..." phrase (important for agent discovery)
  • Severity: Error or Warning

Step 4: Check File Structure

Check for allowed subdirectories:

  • scripts/ — Executable code
  • references/ — Supporting documentation
  • assets/ — Static resources

Error if: Other subdirectories found

  • Examples of violations: examples/, docs/, tests/, __pycache__/

Severity: Warning (allowed but not spec-compliant)

Step 5: Analyze SKILL.md Content

  • Count lines in SKILL.md
  • Warning if: Exceeds 500 lines (suggests need for progressive disclosure)
  • Detect: Presence of code examples, references, diagrams
  • Detect: Programming languages used

Read the full file on GitHub · 370 lines

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. 3d ago First seen · 370 lines · 30 tokens per session scan A ba59b9389cbe

Subscribe to this mod's changes

skill-reviewer is an agent published in the GitHub repository Agentic-Insights/foundry (5 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 30 tokens to every session and 2,668 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 2026-08-31.

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