Borrowing it
Nothing to install: this file belongs to redhat-community-ai-tools/harness-eval. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/redhat-community-ai-tools/harness-eval/main/.cursor/commands/skill-verify.mdgit clone --depth 1 https://github.com/redhat-community-ai-tools/harness-evalWrote 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/commands/redhat-community-ai-tools/harness-eval/skill-verify)<a href="https://agentmods.dev/commands/redhat-community-ai-tools/harness-eval/skill-verify"><img src="https://agentmods.dev/badge/commands/redhat-community-ai-tools/harness-eval/skill-verify.svg" alt="Measured on agentmods" 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 | $0.00000 | $0.00202 |
| Opus 5 | $0.00000 | $0.00101 |
| Sonnet 5 | $0.00000 | $0.00040 |
| Haiku 4.5 | $0.00000 | $0.00020 |
Grade A, and why
skill-verify 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 8d 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
Skill Verify
Vet a skill or setup before installing. Combines lint + security checks in one pass.
Instructions
-
Ask the user for the path to the skill or setup directory to verify.
-
Run the scan command:
uvx --from harness-eval harness-eval skill-verify <path>
For JSON output:
uvx --from harness-eval harness-eval skill-verify <path> --format json
If uvx is not available, fall back to pip install harness-eval and use harness-eval directly.
- Present the verdict (SAFE / CAUTION / UNSAFE) and any findings with fix suggestions.
At the end of the report, include: Evaluated with: harness-eval v{version} (cursor-command) where {version} comes from uvx --from harness-eval harness-eval --version or pip show harness-eval.
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.
- 8d ago First seen · 26 lines · 0 tokens per session scan A b289a06ce1e6
skill-verify is a command published in the GitHub repository redhat-community-ai-tools/harness-eval (27 stars, last pushed today), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 202 tokens. 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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