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 hoangsonww/AI-News-Briefing --skill health-checkgit clone --depth 1 https://github.com/hoangsonww/AI-News-BriefingWrote 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/hoangsonww/ai-news-briefing/health-check)<a href="https://agentmods.dev/skills/hoangsonww/ai-news-briefing/health-check"><img src="https://agentmods.dev/badge/skills/hoangsonww/ai-news-briefing/health-check/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/hoangsonww/ai-news-briefing/health-check"><img src="https://agentmods.dev/badge/skills/hoangsonww/ai-news-briefing/health-check.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00016 | $0.00113 |
| Opus 5 | $0.00008 | $0.00056 |
| Sonnet 5 | $0.00003 | $0.00023 |
| Haiku 4.5 | $0.00002 | $0.00011 |
Grade A, and why
health-check 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.
What it actually says
Health Check Skill
Run the system health check script located in the scripts/ directory to verify the installation, dependencies, and configuration.
To do this, execute bash scripts/health-check.sh on macOS/Linux or powershell -ExecutionPolicy Bypass -File scripts\health-check.ps1 on Windows.
Parse the output and summarize any warnings or errors for the user. If everything is healthy, report that the system is fully operational.
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 · 10 lines · 16 tokens per session scan A fce0bc885b11
health-check is a skill published in the GitHub repository hoangsonww/AI-News-Briefing (42 stars, last pushed 4d ago), licensed MIT. It adds 16 tokens to every session and 113 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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Interactive spec generation — turn ideas into concrete specs with R-numbered requirements and testable acceptance criteria.
executing
Autonomous task implementation workflow — implement, test, review, commit for each task in the frontier.
backpropagation
Trace runtime bugs back to spec gaps — identify missing acceptance criteria, update specs, generate regression tests, and detect patterns.
design-system
DESIGN.md integration for Forge — ensures visual consistency across all UI tasks through standardized design specifications.
planning
Decompose approved specs into ordered task frontiers with dependency DAGs, token estimates, and repo tags.