bootstrap-template-evaluation
Skill7 starsChanged 8 months agoMITView on GitHub
Fastest route to a deployed live evaluation using a pre-built Truesight template. Use when the user wants a quick start without building judgment configs from scratch.
In this repository8 other files it gives its agents.
- build-review-interfaceSkill
- create-evaluationSkill
- error-analysisSkill
- eval-auditSkill
- evaluate-traceSkill
- generate-synthetic-dataSkill
- review-and-promote-tracesSkill
- truesight-workflowsSkill
The file
We split this skill into the rules it gives an agent
9 rules. About 0 are common, 6 are distinctive, and 3 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈6
Distinctive · estimate
This author's own choices. Worth a look.
3
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 8
Use this skill when a pre-built template likely covers the target use case.
- Very specific: line 13
BEFORE the first scoping question, search for a structured question tool (e.g., AskUserQuestion or similar interactive widget) and load it.
- Distinctive: line 16
If template choice is ambiguous, ask one question at a time using the structured question tool (loaded per the HARD-GATE above).
- Distinctive: line 28
Ask one question per message.
- Distinctive: line 29
Use the structured question tool for every question.
- Distinctive: line 30
Ask one follow-up only when needed.
- Very specific: line 44
Run run_eval with representative inputs.
- Very specific: line 52
If no template fits, hand off to create-evaluation.
- Distinctive: line 53
Do not skip verification after deployment.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Bootstrap Template Evaluation
Use this skill when a pre-built template likely covers the target use case.
Interactive Q&A protocol (mandatory)
<HARD-GATE>
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.
</HARD-GATE>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 firstRules:
- 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
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

