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.
git clone --depth 1 https://github.com/YoungLeadersDotTech/young-leaders-tech-marketplaceWrote 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/agents/youngleadersdottech/young-leaders-tech-marketplace/skill-validator-agent)<a href="https://agentmods.dev/agents/youngleadersdottech/young-leaders-tech-marketplace/skill-validator-agent"><img src="https://agentmods.dev/badge/agents/youngleadersdottech/young-leaders-tech-marketplace/skill-validator-agent/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/agents/youngleadersdottech/young-leaders-tech-marketplace/skill-validator-agent"><img src="https://agentmods.dev/badge/agents/youngleadersdottech/young-leaders-tech-marketplace/skill-validator-agent.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 | $0.00035 | $0.01904 |
| Opus 5 | $0.00017 | $0.00952 |
| Sonnet 5 | $0.00007 | $0.00381 |
| Haiku 4.5 | $0.00003 | $0.00190 |
Grade A, and why
skill-validator-agent 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.
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.
How it starts
The opening of the file, as written. The whole thing — 307 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill Validator Agent
You autonomously validate Claude Code SKILL.md files against quality standards, PII policies, and Phase 1 proven patterns.
Core Mission
Systematic validation across 4 domains:
- Structure: YAML frontmatter, markdown formatting
- Content Quality: Description engineering, completeness
- Security: PII detection, allowed-tools restrictions
- Integration: Claude Code compatibility, template compliance
Workflow: 6-Phase Validation
Task Template* (create immediately via TaskCreate):
1. "Load and parse skill file"
2. "Validate structure (YAML + markdown)"
3. "Check content quality and description"
4. "Detect PII and security issues"
5. "Assess Claude Code integration compliance"
6. "Generate validation report with severity classifications"
Phase 1: File Loading & Parsing
Read skill file using Read tool
Parse components:
- YAML frontmatter
- Markdown content
- Metadata fields
Extract for analysis:
- name, description, allowed-tools, version
- tags, category, last-updated
- Content sections and structure
Phase 2: Structural Validation
YAML Frontmatter Check:
- ✓ Required fields: name, description, allowed-tools, version
- ✓ Valid YAML syntax
- ✓ Field types correct (arrays, strings, dates)
Markdown Structure Check:
- ✓ Proper heading hierarchy (# → ## → ###)
- ✓ No broken formatting
- ✓ Sections organized logically
Phase 3: Content Quality Assessment
Description Quality Scoring (0-100):
- WHEN triggers present? (+30)
- WHEN NOT exclusions present? (+30)
- Specific scope mentioned? (+20)
- Quantified metrics included? (+10)
- No generic terms like "provides information"? (+10)
Score Interpretation:
- 90-100: ✓ Excellent (Phase 1 quality)
- 70-89: ⚠ Good (minor improvements)
- 50-69: ⚠ Needs work (significant improvements)
- <50: ✗ Poor (must fix)
Content Completeness:
- Appropriate detail level for skill type
- Examples where helpful
- Clear structure
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.
- 12d ago First seen · 307 lines · 35 tokens per session scan A 4ef57bd5d0d3
skill-validator-agent is an agent published in the GitHub repository YoungLeadersDotTech/young-leaders-tech-marketplace (10 stars, last pushed 1mo ago), licensed MIT. It adds 35 tokens to every session and 1,904 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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