Agent skill

Effective Harnesses

by liangdabiao in liangdabiao/exa-research-mcp-skill

Long-running agent project harness for Codex, OpenClaw, Claude Code, and other coding agents.

No licenceAuto-check passedDevelopment

Install Effective Harnesses

skills CLI
$ npx skills add liangdabiao/exa-research-mcp-skill --skill effective-harnesses -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install liangdabiao/exa-research-mcp-skill effective-harnesses --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/liangdabiao/exa-research-mcp-skill.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/effective-harnesses .claude/skills/effective-harnesses && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
effective-harnesses
GitHub stars
110
Token cost
~1.5k tokens
SKILL.md length
658 words
Files
2
Skills in repo
7
Repo updated
First seen
Licence
None found

At a glance

Long-running agent project harness for Codex, OpenClaw, Claude Code, and other coding agents.

  • Works in 6 steps: Identify the project goal, stack,… → Create feature_list.json from the schema… → Create a repeatable bootstrap if useful:… → …
  • Maintain projects that need feature decomposition
  • SKILL.md covers Purpose, Core Principles, Harness Files and Initialize a Project, plus 7 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Effective Harnesses is an agent skill from liangdabiao/exa-research-mcp-skill. Long-running agent project harness for Codex, OpenClaw, Claude Code, and other coding agents. Use to initialize or maintain projects that need feature decomposition, resumable progress tracking, test-gated completion, session recovery, and git-backed checkpoints through files such as featurelist.json, init.sh, progress logs, and coding standards.

Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `agents/openai.yaml`).

It sits in Development, covering Code quality and Autonomous loops. It works with Git. The repository describes itself as: 基于 Claude Code 和 Exa 搜索引擎的 AI 驱动企业与市场研究工具。核心特性 - 智能公司研究: 自动收集公司信息、新闻、社交媒体动态、财务数据和 LinkedIn 资料 - 竞争对手分析: 快速构建竞争对手列表,分析市场定位 - 市场研究: 跟踪行业趋势、并购活动、技术发展 - 上下文隔离: 所有搜索在独立代理中运行,保持主对话整洁 -….

When your agent uses it

  • Maintain projects that need feature decomposition
  • Resumable progress tracking
  • Test-gated completion
  • Session recovery

Example prompts

  • “/effective-harnesses”

Requirements

  • Python 3

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  1. Identify the project goal, stack, default test command, and startup command.
  2. Create feature_list.json from the schema below.
  3. Create a repeatable bootstrap if useful: init.sh for Unix-like shells, init.ps1 or init.py for Windows native. Do not require Bash on…
  4. Create agent-progress.md with initial context, assumptions, and next feature.
  5. Create or update CODING_STANDARDS.md only when project conventions are known or requested.
  6. Run the bootstrap and/or test command if safe in the current environment.

What it can do on your machine

Read from SKILL.md and the folder at commit 6a345be. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are json and markdown).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Effective Harnesses loads about 1.5k tokens when it runs. Until then it costs about 92 tokens; SKILL.md has 658 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~92
When it runs · the whole SKILL.md, loaded when a task matches
~1.5k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

Without a licence we can't republish the file, so here is its outline and opening line. It has 658 words (~1,516 tokens).

“Use this skill to keep long-running implementation or research projects reliable across many agent sessions. Maintain a small set of durable project files so any compatible agent can resume work without relying on hidden chat context.”

— opening of SKILL.md by liangdabiao
name
effective-harnesses

Read the full SKILL.md on GitHub

Files

SKILL.md and 1 other file in skills/effective-harnesses of liangdabiao/exa-research-mcp-skill.

  • SKILL.md
  • agents/openai.yaml

Open the folder on GitHubat commit 6a345be

Compare with similar skills

Effective Harnesses next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Effective Harnesses compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Effective Harnesses this skillliangdabiao/exa-research-mcp-skill110—~1.5kAutomated safety check: PassNone
Self-Improvement Tournament Loopzereight/gitlab-mcp2k1 repos~1.8kAutomated safety check: WarnMIT
Repository Health and Gap AssessoropenJiuwen-ai/agent-core446—~613Automated safety check: PassApache-2.0
Code Reviewaiskillstore/marketplace433—~2.3kAutomated safety check: PassNone
Qt C++ Code Reviewx-tools-author/x-tools1.1k2 repos~4.3kAutomated safety check: PassBSD-3-Clause
Skill Doctorwarpdotdev/common-skills6102 repos~2.6kAutomated safety check: PassMIT

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Works with

Questions about Effective Harnesses

What does Effective Harnesses do?

Long-running agent project harness for Codex, OpenClaw, Claude Code, and other coding agents. Effective Harnesses is an agent skill from liangdabiao/exa-research-mcp-skill. Long-running agent project harness for Codex, OpenClaw, Claude Code, and other coding agents.

When should I use Effective Harnesses?

Effective Harnesses fits situations like: maintain projects that need feature decomposition; resumable progress tracking; test-gated completion; session recovery.

How do I install Effective Harnesses in Claude Code?

Run `npx skills add liangdabiao/exa-research-mcp-skill --skill effective-harnesses -a claude-code`. Or copy the skill folder (skills/effective-harnesses in liangdabiao/exa-research-mcp-skill) into .claude/skills/effective-harnesses in your project. Claude Code loads it when a task matches its description.

How do I install Effective Harnesses in Codex?

Run `npx skills add liangdabiao/exa-research-mcp-skill --skill effective-harnesses -a codex`. Or copy the skill folder (skills/effective-harnesses in liangdabiao/exa-research-mcp-skill) into .agents/skills/effective-harnesses in your project. Codex loads it when a task matches its description.

Can I use Effective Harnesses in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add liangdabiao/exa-research-mcp-skill --skill effective-harnesses -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/effective-harnesses, .gemini/skills/effective-harnesses, .github/skills/effective-harnesses and .opencode/skills/effective-harnesses in your project.

What does Effective Harnesses need to run?

SKILL.md names no scripts, command-line tools or credentials: Effective Harnesses is instructions for the agent only. Our summary lists: Python 3.

Does Effective Harnesses access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Effective Harnesses safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Effective Harnesses use?

No licence was found for Effective Harnesses or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Effective Harnesses use?

About 1.5k tokens (SKILL.md is roughly 6.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Effective Harnesses?

Skills that share tags, products or a category with Effective Harnesses: Self-Improvement Tournament Loop (zereight/gitlab-mcp, 2k stars), Repository Health and Gap Assessor (openJiuwen-ai/agent-core, 446 stars), Code Review (aiskillstore/marketplace, 433 stars) and Qt C++ Code Review (x-tools-author/x-tools, 1.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Effective Harnesses?

liangdabiao (a GitHub user) maintains it in liangdabiao/exa-research-mcp-skill, which has 110 GitHub stars. The repository holds 7 skills in this directory. The repository was last updated on August 8, 2026.

Source: liangdabiao/exa-research-mcp-skill on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.