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 7xmohamed/Kata --skill healthgit clone --depth 1 https://github.com/7xmohamed/KataWrote 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/7xmohamed/kata/health)<a href="https://agentmods.dev/skills/7xmohamed/kata/health"><img src="https://agentmods.dev/badge/skills/7xmohamed/kata/health/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/7xmohamed/kata/health"><img src="https://agentmods.dev/badge/skills/7xmohamed/kata/health.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 | $0.00043 | $0.01228 |
| Opus 5 | $0.00022 | $0.00614 |
| Sonnet 5 | $0.00009 | $0.00246 |
| Haiku 4.5 | $0.00004 | $0.00123 |
Grade A, and why
health scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 123 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Health: Audit and Fix Your AI Configuration
Prefix your first line with ⚔️ inline, not as its own paragraph.
Audit the current project's Kata setup against the six-layer framework:
GEMINI.md → rules → skills → hooks → subagents → verifiers
Find violations. Identify the misaligned layer. Calibrate to project complexity only.
Output language: Check in order: (1) GEMINI.md ## Communication rule (global over local); (2) user's recent language; (3) English.
Step 0: Assess project tier
Pick one. Apply only that tier's requirements.
| Tier | Signal | What's expected |
|---|---|---|
| Simple | <500 files, 1 contributor, no CI | GEMINI.md only; 0-1 skills; hooks optional |
| Standard | 500-5K files, small team or CI | GEMINI.md + 1-2 rules; 2-4 skills; basic hooks |
| Complex | >5K files, multi-contributor, active CI | Full six-layer setup required |
Step 1: Collect data
Run the collection script. Do not interpret yet.
bash "${GEMINI_SKILL_DIR:-$HOME/.agents/skills/health}/scripts/collect-data.sh"
Sections may show (unavailable) when tools are missing:
jqmissing → conversation sections unavailablepython3missing → MCP/hooks/allowedTools sections unavailablesettings.local.jsonabsent → hooks/MCP may be unavailable (normal for global-only setups)
Treat (unavailable) as insufficient data, not a finding. Do not flag those areas.
Step 1b: MCP Live Check
Test every MCP server: call one harmless tool per server. Record live=yes/no with error detail. Respect enabled: false (skip without flagging). For API keys, only check if the env var is set (echo $VAR | head -c 5), never print full keys.
Step 2: Analyze
Confirm the tier. Then route:
- Simple: Analyze locally. No subagents.
- Standard/Complex: Launch two subagents in parallel. Redact credentials to
[REDACTED].- Agent 1 (Context + Security): Read
agents/inspector-context.md. FeedCONVERSATION SIGNALSsection. - Agent 2 (Control + Behavior): Read
agents/inspector-control.md. Feed detected tier.
- Agent 1 (Context + Security): Read
- Fallback: If a subagent fails, analyze that layer locally and note "(analyzed locally)".
What ships with it
3 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.
- 10d ago First seen · 123 lines · 43 tokens per session scan A 10ffd3e235d5
health is a skill published in the GitHub repository 7xmohamed/Kata (2 stars, last pushed 2mo ago), licensed MIT. It adds 43 tokens to every session and 1,228 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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