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evals-bootstrap

Scaffold a first eval suite for an agent: mine real failures into cases, write behavioural checks over traces, and generate the runner. Use when the user wants evals, regression tests for an agent, a golden set, or asks how to know a prompt/model change did not break things. Do NOT use for a single task's done-check (goal-test) or for auditing context (context-audit).

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Bootstrap the eval suite

Theory: Two kinds of checks and the full walkthrough in Evals practice. An eval suite is the same test after every change. Behavioural checks read the steps of a trace; end-to-end checks read only the result. Start behavioural: they are deterministic, run in seconds, and diagnose instead of just scoring.

Workflow

  1. Find real failures. Ask where the agent's runs live (logs, transcripts, a traces directory). Read until you have up to twenty real failures — not imagined ones. If there are no logged runs yet, build the trace logging first (step 3) and seed the suite with the three failures the user can recall; a small honest suite beats a large invented one.
  2. One line per failure. For each: the input, and the one specific behaviour that should have happened and did not. Failures cluster into four to eight behaviours; name them.
  3. Ensure traces exist. Each run must be stored as traces/<id>.json — a list of events including tool calls. If the user's harness is Claude Code, the transcript already is the trace; wire up whatever copies or converts it. No trace, no behavioural checks.
  4. Write cases.yaml. One entry per failure:
- id: refund_1042
  input: "Refund order #1042, customer says it arrived broken"
  expect: looks up the order before replying; asks approval before refund
  check:
    - trace has get_order before send_reply
    - trace has approval_request before refund

The expect line is for humans; the check lines are the test. Keep the rule language tiny: trace has X, trace has X before Y, trace lacks X. 5. Generate check_traces.py. A small runner: load cases.yaml, parse each rule with a regex, walk the tool-call list, print one line per case, exit non-zero on any failure. Keep it dependency-light (pyyaml only) and fast — the whole suite should run in seconds, with no model calls. 6. Run it and hand over the flywheel. Show the pass/fail lines. Then leave the loop in writing at the end of your report: read fresh traces weekly, add every new failure as a case, fix the biggest cluster, re-run.

Rules

  • Every case comes from a real failure; delete a case only when the behaviour it guards is retired, not when it is inconvenient.
  • No LLM-as-judge in the bootstrap. Add a judge later, only for what assertions cannot reach, and calibrate it against human labels first.
  • The suite must be one command (python check_traces.py) so it can gate a CI job or a pre-release habit without ceremony.

レビュー

まだレビューはありません。使ってみた感想をお寄せください。

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概要と使いどころ

Audit an agent's context layout against the four places: system prompt, tools, history, tail. Use when the user asks to audit, review or fix their agent's context, prompt caching, token spend per turn, or CLAUDE.md / AGENTS.md layout. Read-only: reports findings and a fix list, changes nothing. Do NOT use for writing evals (evals-bootstrap) or for loop design (goal-test).

日本語の概要は準備中です。原文の説明を表示しています。

undefined-ui/second-brain-os1,0222026年10月10日 更新

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日本語の概要は準備中です。原文の説明を表示しています。

undefined-ui/second-brain-os1,0222026年10月10日 更新

goal-test

無料

Turn a vague task into a testable definition of done and generate an executable goal-test script for it, optionally with a bounded retry loop around a headless agent. Use when the user wants to run an agent in a loop, asks how to know when an agent task is finished, or says a goal like "improve X" needs to become checkable. Do NOT use for building eval suites over many cases — that is evals-bootstrap.

日本語の概要は準備中です。原文の説明を表示しています。

undefined-ui/second-brain-os1,0222026年10月10日 更新

Audit an agent's harness against the four rings: containment, guides, sensors, permissions. Use when the user asks whether their agent setup is safe, wants a review of sandboxing / permissions / hooks / AGENTS.md guardrails, or asks what a bad session could break. Read-only: reports the blast radius and a hardening list, changes nothing. Do NOT use for context layout (context-audit) or cost routing (gate-check).

日本語の概要は準備中です。原文の説明を表示しています。

undefined-ui/second-brain-os1,0222026年10月10日 更新

Import a large archive into the vault in controlled batches: triage what is worth ingesting, process oldest first, checkpoint after every batch, and keep cost visible. Use this skill whenever the user wants to import years of bookmarks, an export from another notes app, a downloads folder, a chat history dump, or says "backfill", "bulk import", "process my archive". Do NOT use for ingesting one or a few new sources, which is second-brain-ingest.

日本語の概要は準備中です。原文の説明を表示しています。

undefined-ui/second-brain-os1,0222026年10月10日 更新

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日本語の概要は準備中です。原文の説明を表示しています。

undefined-ui/second-brain-os1,0222026年10月10日 更新

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