Install
$ agentstack add skill-goodeye-labs-truesight-mcp-skills-bootstrap-template-evaluation ✓ 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
Bootstrap Template Evaluation
Use this skill when a pre-built template likely covers the target use case.
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.
If template choice is ambiguous, ask one question at a time using the structured question tool (loaded per the HARD-GATE above).
Example question structure:
Which template family best matches your goal?
A) AI writing detection
B) Code quality
C) Unsure, list all templates first
Rules:
- Ask 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 when needed.
Workflow
- Discover templates:
- Call
list_templates.
- Select template:
- Match use case to template
slug.
- Provision private dataset:
- Call
provision_template(slug).
- Deploy live evaluation:
- Call
create_and_deploy_evaluation(dataset_id). - Capture
api_keyimmediately because it is returned only once.
- Verify:
- Run
run_evalwith representative inputs.
- Return deployment artifacts:
dataset_idlive_evaluation_id- verification result
Guardrails
- If no template fits, hand off to
create-evaluation. - Do not skip verification after deployment.
Scopes reference
list_templatesrequiresdatasets:readprovision_templaterequiresdatasets:writecreate_and_deploy_evaluationrequiresevaluations:write,live-evaluations:writerun_evalrequireslive-evaluations:execute
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.
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Versions
- v0.1.0 Imported from the upstream source.