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 bootstrap-template-evaluationgit 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/bootstrap-template-evaluation)<a href="https://agentmods.dev/skills/goodeye-labs/truesight-mcp-skills/bootstrap-template-evaluation"><img src="https://agentmods.dev/badge/skills/goodeye-labs/truesight-mcp-skills/bootstrap-template-evaluation/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/bootstrap-template-evaluation"><img src="https://agentmods.dev/badge/skills/goodeye-labs/truesight-mcp-skills/bootstrap-template-evaluation.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 | $0.00037 | $0.00483 |
| Opus 5 | $0.00018 | $0.00242 |
| Sonnet 5 | $0.00007 | $0.00097 |
| Haiku 4.5 | $0.00004 | $0.00048 |
Grade A, and why
bootstrap-template-evaluation 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.
What it actually says
Bootstrap Template Evaluation
Use this skill when a pre-built template likely covers the target use case.
Interactive Q&A protocol (mandatory)
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.
- Call
- Select template:
- Match use case to template
slug.
- Match use case to template
- Provision private dataset:
- Call
provision_template(slug).
- Call
- Deploy live evaluation:
- Call
create_and_deploy_evaluation(dataset_id). - Capture
api_keyimmediately because it is returned only once.
- Call
- Verify:
- Run
run_evalwith representative inputs.
- Run
- 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
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 · 37 tokens per session scan A e896af7639c3
bootstrap-template-evaluation is a skill published in the GitHub repository Goodeye-Labs/truesight-mcp-skills (7 stars, last pushed 5mo ago), licensed MIT. It adds 37 tokens to every session and 483 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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