AGENT SKILL

delegated-build-verify

Use when delegating a large build to a generator (Codex fan-out, subagents, or a Workflow) and you must independently verify the result - the "agent builds X, then you evaluate" pattern. Turns a converged plan/grill into an authoritative build-spec that doubles as the evaluation rubric, fans out the generator, then verifies with an active fabrication hunt. Triggers: "build X then evaluate".

License 许可
MIT
最近更新
2026-11-02
Stars
★ 0
Forks
0

01 前言 Front Matter

name
delegated-build-verify
description
Use when delegating a large build to a generator (Codex fan-out, subagents, or a Workflow) and you must independently verify the result - the "agent builds X, then you evaluate" pattern. Turns a converged plan/grill into an authoritative build-spec that doubles as the evaluation rubric, fans out the generator, then verifies with an active fabrication hunt. Triggers: "build X then evaluate".

03 SKILL.md 正文

Delegated Build + Verify

Generator–verifier delegation for big builds. The generator (Codex threads / a Workflow / subagents) writes the code or data; YOU are the independent verifier. Never let the generator grade its own homework — self-reported completion and coverage are gameable proxies.

When to use

  • The user says "build X, then evaluate it" / "fan out Codex to build this, then check it."
  • A large multi-part build you will delegate but must not ship on the generator's say-so.
  • Downstream of grill-me-extensive, once the scope has converged into decisions.

The pattern (in order — do not skip step 1)

  1. Write the BUILD SPEC first — it IS the eval rubric. Before any generation, author an authoritative spec with: (a) prime directives (the non-negotiables — never-fabricate, provenance, security/privacy boundaries); (b) the data/API contract + schema; (c) per-part sourcing; (d) an explicit § Acceptance Criteria that enumerates every gate. It must be precise enough that a fresh reviewer can grade against it. Save it: the generator builds to it, you evaluate against it. No spec → you have no rubric → don't generate yet.
  2. Encode boundaries as STRUCTURAL gates, not per-item discipline. e.g. a provenance / lawful-basis gate that auto-routes ungated data to a private/absent state; a first-class node so a forbidden attachment is impossible by construction. Invariants scale to 100k+ records; reminders don't.
  3. Fan out the generator. Codex threads / a Workflow / subagents, each carrying a scoped slice of the spec plus the prime directives embedded in its prompt. Sequence hard dependencies (schema before data). Worktree-isolate parallel writers so they don't collide.
  4. VERIFY independently — with an ACTIVE FABRICATION HUNT. Do NOT trust the generator's self-reported completion/coverage. Re-run the gates yourself; spot-hunt for fabricated, unprovenanced, or derived-as-authoritative cells; read the actual test summary line, not the exit code. Report: completion (done / partial / absent per part), honest coverage %, and each gate pass/fail. Fabrication or coverage-theater = automatic FAIL for that slice, however "done" it looks. Incomplete-but-honest beats complete-but-fabricated.

Red flags (STOP)

Thought Reality
"The generator said it's 100% covered." Verify it yourself; self-reported coverage is a gameable proxy.
"No build-spec yet, I'll just start generating." You have no rubric — write the spec first.
"I'll delegate without repeating the non-negotiables." Drift + fabrication. Embed them in every slice.
"It looks complete, ship it." Run the fabrication hunt before believing "complete."

Related

  • Upstream scope: grill-me-extensive. Verify discipline: verification-before-completion.
  • Anti-reward-hacking rationale: basic-memory agentic-repair-reliability, verified-green-read-summary-not-coverage.

04 同仓库更多 Skills

Prekzursil
Prekzursil/agent-skills-toolchain

clarify-requirements

Resolve genuine pre-execution ambiguity by scanning repo context, generating 1-6 grounded options, and asking 1-3 focused questions via AskUserQuestion. NOT for mid-task use (injection risk); NOT when the goal is already unambiguous; use to disambiguate vague prompts before any file edits.

★ 0
Prekzursil
Prekzursil/agent-skills-toolchain

openmm-md

Run FREE, open-source, Windows-native GPU molecular dynamics via the openmm-md MCP (OpenMM + CUDA on the local NVIDIA GPU). Use for protein / protein-ligand MD when you want a free stack or are on Windows without a Schrodinger license. Covers the full workflow (prepare, solvate, minimize, equilibrate, production, analyze, mmgbsa) AND an honest decision guide vs Schrodinger Desmond, including how to run Desmond legitimately on Linux or a cloud GPU with a real license. This is a deliberately LESSER free alternative and does NOT replace the schrodinger MCP tools. Do NOT use it to pick a free tool when a validated FEP+, WaterMap, IFD-MD, or Prime MM-GBSA result is actually required.

Skill与智能体开发
★ 0
Prekzursil
Prekzursil/agent-skills-toolchain

visual-review

Take screenshots of web pages and UI using Playwright for visual review and iteration

演示文稿测试与质量
★ 0
Prekzursil
Prekzursil/agent-skills-toolchain

status

Diagnostic status report — shows metaswarm installation state, project setup, and potential issues

★ 0
Prekzursil
Prekzursil/agent-skills-toolchain

start

Use when starting work on any task, when the user mentions metaswarm, or when the user wants to begin tracked development work

Skill与智能体开发
★ 0
Prekzursil
Prekzursil/agent-skills-toolchain

setup

Interactive project setup — detects your project, configures metaswarm, writes project-local files

★ 0