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/galileo-agent-labs/eval-engineer/eval-auditnpx skills add Galileo-Agent-Labs/eval-engineer --skill eval-auditgit clone --depth 1 https://github.com/Galileo-Agent-Labs/eval-engineerWrote 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/galileo-agent-labs/eval-engineer/eval-audit)<a href="https://agentmods.dev/skills/galileo-agent-labs/eval-engineer/eval-audit"><img src="https://agentmods.dev/badge/skills/galileo-agent-labs/eval-engineer/eval-audit.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 | $0.00040 | $0.00373 |
| Opus 5 | $0.00020 | $0.00187 |
| Sonnet 5 | $0.00008 | $0.00075 |
| Haiku 4.5 | $0.00004 | $0.00037 |
Grade A, and why
eval-audit 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 6d 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
Eval Audit
Use this skill to find risk before changing the app. Audits inspect evidence, code, metrics, and workflow coverage. Do not fix by default.
Audit Areas
- OWASP agentic AI risks: control plane, tool permissions, data exposure, indirect prompt injection, identity boundaries, approval gates, and unsafe autonomy.
- Metric coverage: quality, safety, grounding, cost, latency, tool behavior, segment regressions, and missing expected-output contracts.
- Evidence quality: links back to Galileo traces, spans, sessions, log streams, experiments, and scorer status.
- Launch readiness: failure cases, rollback criteria, verification commands, privacy/PII risks, and production monitoring gaps.
Secret Handling
Do not read secret values from .env, shell history, key files, or credential
stores during an audit. It is okay to report variable names, expected variable
presence, whether .env is ignored by git, and whether a project is a git repo.
If values were already exposed in chat, logs, or committed files, recommend
rotation; do not infer compromise merely because a local ignored .env exists.
Validation Loop
Before finalizing, check that each finding includes severity, evidence, affected surface, and the next command or verification step. If evidence is missing, mark the finding as a gap rather than a confirmed defect.
Output
Produce findings first, ordered by severity. Include evidence references and
the next command: /eval-measure, /eval-fetch, /eval-diagnose, or
/eval-cost.
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.
- 6d ago First seen · 42 lines · 40 tokens per session scan A e03b2c54ca89
eval-audit is a skill published in the GitHub repository Galileo-Agent-Labs/eval-engineer (41 stars, last pushed 24d ago), licensed MIT. It adds 40 tokens to every session and 373 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 2026-08-30.
Other skills, from other repositories
install-gemini-code-review-action
Installs, configures, or upgrades Dazbo's PR code review & issue triage GitHub Action (gemini-review-action) in a target repository. Use when the user wants to set up, configure, or update automated AI code reviews, issue triaging, or Gemini model workflows for their GitHub repository.
convert-to-devto
Converts Markdown content into the format required for Dev.to publication, ensuring correct YAML frontmatter, headers, liquid tags, and inline formatting. Use when the user asks to format or convert an existing blog post or Markdown file for Dev.to.
fw-review
Full Freshworks marketplace app review — iparams, frontend, serverless, FDK, security, and structured text report output — in one skill.
fw-ai-actions-app
Expert-level skill for AI Actions and integrations on Freshworks Platform 3.0. Use when (1) Creating actions.json and SMI functions (flat request, nested response), (2) Request templates and third-party API integration, (3) Pre-build validation (pricing, paywalls, account prerequisites), (4) Failure-case validation…
secrets-with-git-crypt
Manages encryption and decryption of repository secrets (such as .env or .tfvars) using git-crypt, keeping credentials secure with parallel encrypted files. Use when managing secrets, setting up git-crypt, or encrypting/decrypting environment files.
create-md-from-browsermcp-snapshot
Extracts and converts BrowserMCP accessibility tree snapshots into clean, high-fidelity Markdown documents with correct structures (headings, lists, tables, blockquotes, formatting, and links). Use when the user asks to create a markdown document from a webpage; especially if they ask to do it with BrowserMCP.