Install
$ agentstack add skill-goodeye-labs-truesight-mcp-skills-eval-audit ✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
About
Eval Audit
Audit LLM evaluation practice and route gaps to the right skills.
Interactive Q&A protocol (mandatory)
BEFORE the first scoping question, search for a structured question tool (e.g., AskUserQuestion or similar interactive widget) and load it. Use that tool for EVERY scoping question. Fall back to plain-text lettered options ONLY if no such tool exists in the environment.
Ask one question at a time using the structured question tool (loaded per the HARD-GATE above).
Example question structure:
What should this audit prioritize first?
A) Live evaluation quality and coverage
B) Error analysis maturity
C) Review and promotion loop health
D) End-to-end process health
Rules:
- One question per message.
- Use the structured question tool for every question. Structure each with a short header, 2-4 options with labels and descriptions, and place the recommended option first. Do not add "(Recommended)" or similar annotations to option labels.
- Ask one follow-up only if ambiguity remains.
Inputs and evidence
Collect available evidence from Truesight first:
- datasets and dataset rows
- live evaluations
- evaluation runs/results
- review queue items
- existing evaluation criteria and deployment patterns
If evidence is missing, record that as a finding.
Diagnostic areas
- Evaluation coverage and quality dimensions
- Error analysis practice and category quality
- Review and promotion workflow discipline
- Template usage versus custom needs
- Operational hygiene (verification, reruns, iteration cadence)
Report format (mandatory)
For each finding, include:
###
Status: Problem exists | OK | Cannot determine
Evidence:
Severity: critical | high | medium | low
Recommended skill:
Next command:
Order findings by severity and impact.
Severity rubric
- critical: likely causes incorrect go/no-go decisions or severe user harm
- high: frequent quality failures or missing control loops
- medium: meaningful process weakness with moderate impact
- low: optimization opportunity, documentation, or ergonomics issue
Handoff map
- Missing or weak failure taxonomy ->
error-analysis - Missing live evaluation coverage ->
create-evaluationorbootstrap-template-evaluation - Review backlog or low judgment throughput ->
review-and-promote-traces - Unclear starting path ->
truesight-workflows
Guardrails
- Keep scope within current Truesight MCP capabilities.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: Goodeye-Labs
- Source: Goodeye-Labs/truesight-mcp-skills
- License: MIT
- Homepage: https://truesight.goodeyelabs.com/docs/mcp-integration
Install and usage instructions live in the source repository linked above.
Reviews
No reviews yet — be the first.
Write a review
Versions
- v0.1.0 Imported from the upstream source.