Graph-driven project understanding using code-review-graph (CRG).

No licenceAuto-check passedAgent Workflows

Install Explore

skills CLI
$ npx skills add xwtro0tk1t-cloud/harness --skill explore -a claude-code

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

GitHub CLI
$ gh skill install xwtro0tk1t-cloud/harness explore --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/xwtro0tk1t-cloud/harness.git skills-src && mkdir -p .claude/skills && cp -r skills-src/bundled-skills/explore .claude/skills/explore && 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
explore
GitHub stars
265
Token cost
~1.6k tokens
SKILL.md length
325 words
Files
1
Skills in repo
7
Repo updated
First seen
Licence
None found

At a glance

Graph-driven project understanding using code-review-graph (CRG).

  • Brainstorming and need to understand project structure
  • SKILL.md covers Overview, Prerequisites, Commands and CRG API Notes (from challenger…, plus 2 more sections
  • Calls python
  • Writing plans and need impact analysis

What it does

Explore is an agent skill from xwtro0tk1t-cloud/harness. Graph-driven project understanding using code-review-graph (CRG). Query architecture, modules, callers/callees, impact radius, hotspots, execution flows, and search nodes. Use when: (1) brainstorming and need to understand project structure, (2) writing plans and need impact analysis, (3) user says "understand this project", "how does this module work", "impact analysis", "/explore", (4) reviewing code changes and need blast radius. Requires .code-review-graph/graph.db — run /graph build first if missing.

Its SKILL.md is about 1.6k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Agent Workflows, covering Planning, Brainstorming and Code review. It works with SQLite. The repository describes itself as: Harness is an AI Agent development guardrail Meta-Skill that establishes four layers of defense for any project in one command: knowledge management, architecture constraints…

When your agent uses it

  • Brainstorming and need to understand project structure
  • Writing plans and need impact analysis
  • User says understand this project
  • How does this module work

Example prompts

  • “understand this project”
  • “how does this module work”
  • “impact analysis”
  • “/explore”

Requirements

  • Python 3

What it can do on your machine

Read from SKILL.md and the folder at commit 3e8bb50. 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

    Shell commands in SKILL.md call:

    • python

    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

Explore loads about 1.6k tokens when it runs. Until then it costs about 130 tokens; SKILL.md has 325 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~130
When it runs · the whole SKILL.md, loaded when a task matches
~1.6k

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 325 words (~1,641 tokens).

“Query the project's code knowledge graph to understand architecture, trace call chains, and analyze impact. Powered by CRG's graph.db (SQLite) + CRG Python API.”

— opening of SKILL.md by xwtro0tk1t-cloud
name
explore

Read the full SKILL.md on GitHub

Files

Just SKILL.md in bundled-skills/explore of xwtro0tk1t-cloud/harness.

Open the folder on GitHubat commit 3e8bb50

Compare with similar skills

Explore 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.

Explore compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Explore this skillxwtro0tk1t-cloud/harness265—~1.6kAutomated safety check: PassNone
Architect Before You Buildjsmastery-pro/jsm-agent-skill218—~1.1kAutomated safety check: PassMIT
Plan Reviewsd0xdev/sd0x-harness192—~3.9kAutomated safety check: PassMIT
02 Implementai-driven-dev/framework513—~404Automated safety check: PassMIT
LLM Councilgcpdev/llm-council-skill4611 repos~1kAutomated safety check: NotesMIT
Plannotator Visual Explainerbacknotprop/plannotator9.2k—~1.7kAutomated safety check: PassApache-2.0

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Works with

Questions about Explore

What does Explore do?

Graph-driven project understanding using code-review-graph (CRG). Explore is an agent skill from xwtro0tk1t-cloud/harness. Graph-driven project understanding using code-review-graph (CRG).

When should I use Explore?

Explore fits situations like: brainstorming and need to understand project structure; writing plans and need impact analysis; user says understand this project; how does this module work.

How do I install Explore in Claude Code?

Run `npx skills add xwtro0tk1t-cloud/harness --skill explore -a claude-code`. Or copy the skill folder (bundled-skills/explore in xwtro0tk1t-cloud/harness) into .claude/skills/explore in your project. Claude Code loads it when a task matches its description.

How do I install Explore in Codex?

Run `npx skills add xwtro0tk1t-cloud/harness --skill explore -a codex`. Or copy the skill folder (bundled-skills/explore in xwtro0tk1t-cloud/harness) into .agents/skills/explore in your project. Codex loads it when a task matches its description.

Can I use Explore 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 xwtro0tk1t-cloud/harness --skill explore -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/explore, .gemini/skills/explore, .github/skills/explore and .opencode/skills/explore in your project.

What does Explore need to run?

Going by SKILL.md and its folder, Explore needs the command-line tools its instructions call (python). Our summary lists: Python 3.

Does Explore 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 Explore 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 Explore use?

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

How many tokens does Explore use?

About 1.6k tokens (SKILL.md is roughly 6.6k 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 Explore?

Skills that share tags, products or a category with Explore: Architect Before You Build (jsmastery-pro/jsm-agent-skill, 218 stars), Plan Review (sd0xdev/sd0x-harness, 192 stars), 02 Implement (ai-driven-dev/framework, 513 stars) and LLM Council (gcpdev/llm-council-skill, 461 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Explore?

xwtro0tk1t-cloud (a GitHub user) maintains it in xwtro0tk1t-cloud/harness, which has 265 GitHub stars. The repository holds 7 skills in this directory. The repository was last updated on May 4, 2026.

Source: xwtro0tk1t-cloud/harness on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.