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 agentmods add skills/msiccdev/ai-context-kit/validate-skillnpx skills add MSiccDev/ai-context-kit --skill validate-skillgit clone --depth 1 https://github.com/MSiccDev/ai-context-kitWhat 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 | $0.00022 | $0.00434 |
| Opus 5 | $0.00011 | $0.00217 |
| Sonnet 5 | $0.00004 | $0.00087 |
| Haiku 4.5 | $0.00002 | $0.00043 |
Grade A, and why
validate-skill 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 2d 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.
What it actually says
Validate Skill
Purpose
Validate SKILL.md files with structured checks and produce consistent validation reports based on a deterministic scoring rubric.
When To Use
- Use this skill when validating any
skills/<name>/SKILL.mdartifact. - Use this skill before accepting skill updates.
- Do not use this skill to generate new skills.
How to Invoke
Load or attach this file's contents into your AI session to activate the workflow (paste, upload, or reference with #file:skills/validate-skill/SKILL.md in VS Code Copilot Chat). In Claude Projects, add it to project knowledge. See Invoking Skills in the README for full platform guidance.
Required Inputs
- Target skill folder path.
- Target
SKILL.mdpath. - Validation strictness expectations (if any).
Workflow
- Run validation phases from
references/phase-checks.md. - Generate report using
references/report-contract.md. - Apply deterministic scoring from
references/scoring.md. - Classify findings into critical/warning/enhancement buckets.
- Produce implementation-ready remediation guidance.
Output Expectations
- Structured markdown validation report.
- PASS/WARN/FAIL status and compliance score.
- Actionable fixes for blocking and non-blocking issues.
Resources
- Phase checks:
references/phase-checks.md - Report contract:
references/report-contract.md - Scoring model:
references/scoring.md - Skill template:
../../templates/skill_template/SKILL.md
Constraints And Safety
- Keep the scoring rubric deterministic; findings should be concise and repeatable.
- Preserve provider neutrality.
- Do not modify validated source files automatically.
What ships with it
4 files 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.
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.
- 2d ago First seen · 52 lines · 22 tokens per session scan A 8853e868d303
validate-skill is a skill published in the GitHub repository MSiccDev/ai-context-kit (12 stars, last pushed 5d ago), licensed MIT. It adds 22 tokens to every session and 434 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 2026-08-30.
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