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 skills add Goodeye-Labs/truesight-mcp-skills --skill evaluate-tracegit clone --depth 1 https://github.com/Goodeye-Labs/truesight-mcp-skillsWrote 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/goodeye-labs/truesight-mcp-skills/evaluate-trace)<a href="https://agentmods.dev/skills/goodeye-labs/truesight-mcp-skills/evaluate-trace"><img src="https://agentmods.dev/badge/skills/goodeye-labs/truesight-mcp-skills/evaluate-trace/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/goodeye-labs/truesight-mcp-skills/evaluate-trace"><img src="https://agentmods.dev/badge/skills/goodeye-labs/truesight-mcp-skills/evaluate-trace.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00041 | $0.00553 |
| Opus 5 | $0.00020 | $0.00277 |
| Sonnet 5 | $0.00008 | $0.00111 |
| Haiku 4.5 | $0.00004 | $0.00055 |
Grade A, and why
evaluate-trace 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 11d 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.
How it starts
The opening of the file, as written. The whole thing — 61 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Evaluate Trace
Use this skill when the user wants to evaluate traces with an existing live evaluation endpoint.
Interactive Q&A protocol (mandatory)
If context does not make scope clear, ask one question at a time using the structured question tool (loaded per the HARD-GATE above).
Example question structure:
Do you want to evaluate one trace or a batch?
A) One trace now
B) Small batch (up to 25)
C) Full batch loop
Rules:
- Ask exactly one clarifying 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 a single follow-up if needed, then proceed.
Workflow
- Identify target live evaluation:
- If live evaluation id is unknown, call
list_live_evaluations. - Select
public_idand verify requiredinput_columns.
- If live evaluation id is unknown, call
- Prepare inputs:
- Ensure
inputskeys exactly matchinput_columns. - Include
media_urlfor multimodal evaluations when needed.
- Ensure
- Execute evaluation:
- Use the
run_evaltool withlive_evaluation_idandinputsfor each trace.
- Use the
- Return useful outputs:
run_id- per-judgment scores/outcomes
- brief interpretation for next action
- Optional handoff:
- If human judgment is needed, route to
review-and-promote-traces.
- If human judgment is needed, route to
Batch mode guidance
- Use deterministic trace ordering and log
run_idfor each input. - Apply retries with stable idempotency context in caller logic if needed.
- Summarize failures by category or threshold, then propose review handoff.
Scopes reference
list_live_evaluationsrequireslive-evaluations:readrun_evalrequireslive-evaluations:execute
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.
- 11d ago First seen · 61 lines · 41 tokens per session scan A ba1992b096f1
evaluate-trace is a skill published in the GitHub repository Goodeye-Labs/truesight-mcp-skills (7 stars, last pushed 5mo ago), licensed MIT. It adds 41 tokens to every session and 553 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 2026-08-31.
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