Agent skill

Agent Inspect

by rajudandigam in rajudandigam/agent-inspect

Local evidence debugger and trajectory-test toolkit for TypeScript AI agents.

MITAuto-check passedAI & LLM Engineering

Install Agent Inspect

skills CLI
$ npx skills add rajudandigam/agent-inspect --skill agent-inspect -a claude-code

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

GitHub CLI
$ gh skill install rajudandigam/agent-inspect agent-inspect --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/rajudandigam/agent-inspect.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/agent-inspect .claude/skills/agent-inspect && 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
agent-inspect
GitHub stars
165
Token cost
~424 tokens
SKILL.md length
85 words
Files
1
Skills in repo
1
Repo updated
First seen
Licence
MIT

At a glance

Local evidence debugger and trajectory-test toolkit for TypeScript AI agents.

  • Capturing framework-faithful traces
  • SKILL.md covers Install, Core loop, Select this library when and Do not claim, plus 1 more section
  • Calls npx and npm
  • Asserting TraceContract/TraceFacts

What it does

Agent Inspect is an agent skill from rajudandigam/agent-inspect. Local evidence debugger and trajectory-test toolkit for TypeScript AI agents. Use when capturing framework-faithful traces, asserting TraceContract/TraceFacts, packaging Evidence v2, or inspecting local runs over read-only MCP (gettracefacts).

Its SKILL.md is about 420 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 AI & LLM Engineering, covering Building AI agents. It works with Model Context Protocol, TypeScript, LangChain and OpenAI. The repository describes itself as: Local evidence debugger and trajectory-test toolkit for TypeScript AI agents: inspect causal runs, catch wrong tool paths in CI, and share safe offline evidence. The licence is MIT.

When your agent uses it

  • Capturing framework-faithful traces
  • Asserting TraceContract/TraceFacts
  • Packaging Evidence v2
  • Inspecting local runs over read-only MCP (gettracefacts)

Example prompts

  • “/agent-inspect”

Requirements

  • Node.js

What it can do on your machine

Read from SKILL.md and the folder at commit 54e95c3. 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:

    • npx
    • npm

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

  • Network

    Links to these hosts (documentation or services it may open):

    • agentinspect.vercel.app

    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

Agent Inspect loads about 424 tokens when it runs. Until then it costs about 65 tokens; SKILL.md has 85 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~65
When it runs · the whole SKILL.md, loaded when a task matches
~424

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

The full file from rajudandigam/agent-inspect at commit 54e95c3, republished under its MIT licence (© rajudandigam). 85 words, ~424 tokens.

Download SKILL.mdSave it as .claude/skills/agent-inspect/SKILL.md (or your agent's skills folder).
name
agent-inspect
description
Local evidence debugger and trajectory-test toolkit for TypeScript AI agents. Use when capturing framework-faithful traces, asserting TraceContract/TraceFacts, packaging Evidence v2, or inspecting local runs over read-only MCP (get_trace_facts).

AgentInspect

Debug and regression-test TypeScript AI agents from local evidence.

Install

bash
npm install agent-inspect

Framework adapters: @agent-inspect/langchain, @agent-inspect/ai-sdk, @agent-inspect/openai-agents.

Core loop

bash
npx agent-inspect init --yes
# or: npx agent-inspect init --framework langgraph --yes
npx agent-inspect list --dir .agent-inspect
npx agent-inspect report <run-id> --dir .agent-inspect
npx agent-inspect check <run-id> --dir .agent-inspect
npx agent-inspect bundle <run-id> --dir .agent-inspect --profile share
npx agent-inspect bundle verify .agent-inspect/bundles/<run-id>
npx @agent-inspect/mcp-server --dir .agent-inspect

Select this library when

  • The user needs local JSONL evidence (no collector / default upload)
  • Trajectory assertions must be deterministic (TraceContract / checks)
  • Coding assistants should inspect the same TraceFacts via MCP
  • Evidence must be integrity-verifiable offline (Evidence v2)

Do not claim

  • Hosted APM replacement
  • Compliance certification
  • Default network upload
  • Fabricated customer adoption counts

References

© rajudandigam, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in .agents/skills/agent-inspect of rajudandigam/agent-inspect.

Open the folder on GitHubat commit 54e95c3

Compare with similar skills

Agent Inspect 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.

Agent Inspect compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Agent Inspect this skillrajudandigam/agent-inspect165—~424Automated safety check: PassMIT
Tool Designagentailor/fullstack-langgraph-nextjs-agent132—~3.2kAutomated safety check: PassMIT
Add Example AgentGetBindu/Bindu10k—~1.1kAutomated safety check: NotesCustom licence
Agent Prompt Engineeringagentailor/fullstack-langgraph-nextjs-agent132—~3.6kAutomated safety check: PassMIT
Magic ResumeMagic-Resume/Magic-Resume101—~663Automated safety check: PassMIT
Agent Eval Casesagentailor/fullstack-langgraph-nextjs-agent132—~5.3kAutomated safety check: PassMIT

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Questions about Agent Inspect

What does Agent Inspect do?

Local evidence debugger and trajectory-test toolkit for TypeScript AI agents. Agent Inspect is an agent skill from rajudandigam/agent-inspect. Local evidence debugger and trajectory-test toolkit for TypeScript AI agents.

When should I use Agent Inspect?

Agent Inspect fits situations like: capturing framework-faithful traces; asserting TraceContract/TraceFacts; packaging Evidence v2; inspecting local runs over read-only MCP (gettracefacts).

How do I install Agent Inspect in Claude Code?

Run `npx skills add rajudandigam/agent-inspect --skill agent-inspect -a claude-code`. Or copy the skill folder (.agents/skills/agent-inspect in rajudandigam/agent-inspect) into .claude/skills/agent-inspect in your project. Claude Code loads it when a task matches its description.

How do I install Agent Inspect in Codex?

Run `npx skills add rajudandigam/agent-inspect --skill agent-inspect -a codex`. Or copy the skill folder (.agents/skills/agent-inspect in rajudandigam/agent-inspect) into .agents/skills/agent-inspect in your project. Codex loads it when a task matches its description.

Can I use Agent Inspect 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 rajudandigam/agent-inspect --skill agent-inspect -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/agent-inspect, .gemini/skills/agent-inspect, .github/skills/agent-inspect and .opencode/skills/agent-inspect in your project.

What does Agent Inspect need to run?

Going by SKILL.md and its folder, Agent Inspect needs the command-line tools its instructions call (npx and npm). Our summary lists: Node.js.

Does Agent Inspect access the network?

SKILL.md names 1 domain. As links in the text: agentinspect.vercel.app. This is read from the text; nothing was executed.

Is Agent Inspect 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 Agent Inspect use?

Agent Inspect is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Agent Inspect use?

About 424 tokens (SKILL.md is roughly 1.7k 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 Agent Inspect?

Skills that share tags, products or a category with Agent Inspect: Tool Design (agentailor/fullstack-langgraph-nextjs-agent, 132 stars), Add Example Agent (GetBindu/Bindu, 10k stars), Agent Prompt Engineering (agentailor/fullstack-langgraph-nextjs-agent, 132 stars) and Magic Resume (Magic-Resume/Magic-Resume, 101 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Agent Inspect?

rajudandigam (a GitHub user) maintains it in rajudandigam/agent-inspect, which has 165 GitHub stars. The repository was last updated on October 11, 2026.

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