Agent skill · AI & Agents

analyze-agent

Systematically analyze an AI agent's source code across 8 core + 4 optional platform dimensions and output structured analysis to docs/<agent>.md

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill analyze-agent --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 8 KB
Bundled scripts: none
Path: skills/analysis/analyze-agent/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Analyze Agent Deep-dive analysis of an AI agent's implementation. Reads the agent's source code from `projects/<agent>/` and fills `docs/<agent>.md` using the 8+4 dimension template. ## Trigger `/analyze-agent <agent-name>` ## Prerequisites 1. The agent's source code must exist at `projects/<agent-name>/`(run `./scripts/manage-submodules.sh add <agent-name>` if not present) 2. The analysis doc `docs/<agent-name>.md` should exist(run `./scripts/new-analysis.sh <agent-name>` if not present) ## Analysis Framework Analyze the agent across 8 core dimensions (always), plus 4 optional platform dimensions (when applicable). ### Platform Detection Before starting analysis, check if this is a platform-level agent: - Read `agents.yaml` for `type: agent-platform` field - Or detect signals: multi-channel support, gateway architecture, scheduling, persistent memory, companion apps - If platform agent: fill D1-D12 - If pure coding agent: fill D1-D8 only, delete or mark D9-D12 as "不适用" ### Core Agent Reference If the platform agent's core coding engine is another agent already analyzed (e.g., OpenClaw uses pi-agent): - D2-D6 should **reference** the existing analysis (link to `docs/<core-agent>.

What's inside
Steps it walks through
  1. Trigger
  2. Prerequisites
  3. Analysis Framework
  4. Platform Detection
  5. Core Agent Reference
  6. Dimension 1: Overview & Architecture
  7. Dimension 2: Agent Loop
  8. Dimension 3: Tool/Action System
  9. Dimension 4: Prompt Engineering
  10. Dimension 5: Context Management
  11. Dimension 6: Error Handling & Recovery
  12. Dimension 7: Key Innovations
  13. Dimension 7.5: MVP Component Map
  14. Dimension 8: Cross-Agent Comparison
Ships with 1 file
  • metadata.json
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About this skill
What does the analyze-agent skill do?

Systematically analyze an AI agent's source code across 8 core + 4 optional platform dimensions and output structured analysis to docs/<agent>.md

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill analyze-agent --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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