harness-control: Skill for Claude Code

.agents/skills/hc-self-evolution/SKILL.md

hc-self-evolution is a skill for Claude Code, Codex from harness-base/harness-control. It costs 92 tokens per session (1,754 once invoked), scanned A, original, MIT.

A diagnostic process for finding and fixing gaps in harness-control itself, including its rules, skills, documents, evaluations, and context loading.

In plain words
What is it for?
It is for investigating harness problems, checking the relevant standards, modifying the system when its direction is known, checking related effects, and recording recurring lessons.
Why use it?
It helps trace a failure through the system's chain of definitions, loading, selection, use, and enforcement instead of patching symptoms blindly.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: reads .claude/ paths; mentions CLAUDE.md; mentions subagents.

This is harness-base/harness-control's own configuration. It tells Claude Code and Codex how to work on harness-control itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything harness-control configures →

Reuse

Borrowing it

Nothing to install: this file belongs to harness-base/harness-control. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/harness-base/harness-control/main/.agents/skills/hc-self-evolution/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/harness-base/harness-control

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for hc-self-evolution

README.md
[![agentmods](https://agentmods.dev/badge/skills/harness-base/harness-control/hc-self-evolution/github.svg)](https://agentmods.dev/skills/harness-base/harness-control/hc-self-evolution)
Your own site
<a href="https://agentmods.dev/skills/harness-base/harness-control/hc-self-evolution"><img src="https://agentmods.dev/badge/skills/harness-base/harness-control/hc-self-evolution/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.

agentmods 80×15 button for hc-self-evolution

Your own site · 80×15
<a href="https://agentmods.dev/skills/harness-base/harness-control/hc-self-evolution"><img src="https://agentmods.dev/badge/skills/harness-base/harness-control/hc-self-evolution.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 92 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,754 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00092 $0.01754
Opus 5.5 $0.00037 $0.00702
Sonnet 5.5 $0.00018 $0.00351
Haiku 4.5 $0.00009 $0.00175

Measured 2mo ago against content hash 37ff905d07e2, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

hc-self-evolution 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 2mo 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.

.agents/skills/hc-self-evolution/SKILL.md · 73 lines

How it starts

The opening of the file, as written. The whole thing — 73 lines — stays where its author put it; the contents beside it link to each section on GitHub.

自进化 / harness 规范检查(hc-self-evolution)

harness 不只治理被管工程,也要管自己。本 skill 是规范检查层:检查 harness 本身符不符合规范、有没有缺口/漏洞、该怎么改。

  • 检查层 ≠ 操作层:hc-add-rule / hc-prd / hc-dev / hc-git-workflow 等是操作层——它们做事,是被检查对象 + 发现缺口后的修复工具,不作为审查逻辑被复用。
  • 落文档提醒(每轮 capture)是另一套机制,不属本 skill。

何时用(两个触发)

  1. 要改 harness 某处(方向已定)→ 引导按结构改对、查连带影响。
  2. 发现 harness 漏洞 / 症状(如"某规则工作时没进上下文")→ 诊断是哪一环断了。

不用:纯被管工程开发任务、琐碎改动。

触发后、开始改之前:扫一眼 tasks/lessons.md 顶部最近 1-2 个月的条目(grep '^## 202' tasks/lessons.md | head -20 看标题),找跟本次要改领域同型的坑。反复出现 = 晋升成规则的信号(rule-0007),别又多记一条 lesson 就完事。

诊断方法(链路 / 不变量)

harness 每个能力是一条链路;漏洞 = 某环断了。

  1. 把症状写成「X 本该发生却没有」。
  2. 拆出交付 X 的链路(环节序列)。
  3. 逐环查:在不在 / 接没接 / 真起作用——机器能查的跑 *-audit、*-index --check;查不了的判断。
  4. 定位断环 → 读对应维度 reference 修 → 查有没有连带破坏别的环 → 记 lesson(反复出现晋升成规则)。

例:症状「某规则工作时没进上下文」→ 链路 定义(AGENTS.md) → 加载(CLAUDE.md @import/就近) → 选取(按任务挑相关) → 遵守 → 拦截 → 逐环发现「选取」环没有 task→规则 选择器 = 断点 → 修复走 references/rules.md。

维度索引(审到哪个读哪份;逐项过、不靠记忆)

每份 reference 给该维度的 规范 / 检索 / 判据 / 漏洞 / 修复:

  • references/skills.md — skill 体系
  • references/rules.md — 规则
  • references/docs.md — 文档(README / AGENTS / CLAUDE / context)
  • references/eval.md — eval 题库 / 流程
  • references/templates.md — 模板
  • references/gates-hooks.md — verify / 护栏 / 门禁 / 触发(含 codex&claude 对等)
  • references/decisions-context-features.md — 决策 / 上下文 索引区(features 区已退役,文件名保留旧称)
  • references/sandbox.md — 被管工程本地验证环境
  • references/subagents.md — 子 agent(.claude/agents/)
  • references/lessons-memory.md — 错题本 / 记忆 / 晋升
  • references/project-onboarding.md — 被管工程接入
  • references/index-system.md — 索引体系(横切)
  • references/process-coverage.md — 流程覆盖(任务类型→流程;缺口如 loop-engineering)

巡检/审查时先把总览索引当地图(默认不加载、自检时查):docs/rules/index.yaml、.agents/skills/README.md、各区 README.md/index.yaml、docs/decisions/index.yaml、docs/eval/index.yaml。

4 条 meta(强制)

  1. 全覆盖:维度逐项过,不许凭记忆只查一部分。
  2. 每项给方法:用对应 reference 的 检索 / 方向 / 规范边界,不空谈。
  3. 列表外:这些维度之外,是否要补新 harness 流程(如 loop-engineering playbook)。
  4. 自身(别漏):harness 进化后,本 skill 与 references 自己要不要改——维度有没有漏、references 过没过期、这套审查本身该不该调。

Read the full file on GitHub · 73 lines

Changes

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.

  1. 2mo ago First seen · 73 lines · 92 tokens per session scan A 37ff905d07e2

Subscribe to this mod's changes

hc-self-evolution is a skill published in the GitHub repository harness-base/harness-control (22 stars, last pushed 3mo ago), licensed MIT. It adds 92 tokens to every session and 1,754 once invoked, about $0.0004 per session on Opus 5.5. 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 2026-08-30.

Related

Other skills, from other repositories

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens

insight-error-page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…

vercel/next.js · 83 tokens