Install
$ agentstack add skill-goodeye-labs-truesight-mcp-skills-build-review-interface ✓ 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.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Build Review Interface
Use this skill to design and implement a stack-agnostic custom trace review web UI.
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.
Start with custom web UI scoping questions.
Rules:
- Ask one question at a time.
- 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 when requirements are ambiguous.
Example question:
What should the primary annotation action set be in v1?
A) Pass / Fail only
B) Pass / Fail + free-text notes
C) Pass / Fail + notes + Defer
D) Custom label set
Custom UI workflow
- Define annotation contract:
- pass/fail controls
- free-text notes
- defer action
- autosave behavior
- Define data source and persistence:
- JSON/CSV input or API-backed source
- CSV/JSON/SQLite output for labels
- Build trace review views:
- render markdown as markdown
- syntax highlight code
- pretty-print JSON
- collapse low-value verbose sections
- Add navigation and productivity controls:
- next/previous
- position and progress counters
- keyboard shortcuts
- Validate end to end:
- functional checks
- data persistence checks
- Playwright verification for core annotation loop
Design checklist
- Consistent layout and terminology across traces
- Pass/fail actions visually distinct
- Full trace visible or expandable
- Autosave on primary actions
- Keyboard shortcuts for frequent actions
- Trace-level annotation as default
Guardrails
- Keep technology guidance stack-agnostic unless the user asks for a specific stack.
- Review the existing codebase to determine if any existing stack is available and offer that as an option.
- Keep sampling logic separate from UI implementation.
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
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Versions
- v0.1.0 Imported from the upstream source.