Skip to main content
Glama
Agent Reliability Skills

Agent Reliability Skills

Official
by trustabl

Agent Reliability Skills MCP server

Forge Claude Code skills generate more reliable agents.

Agent Reliability Skills is the MCP server for Trustabl Forge. It writes a pre-coding reliability skill for your repository: Forge reads the repository's dependency manifests (package.json, pyproject.toml, requirements.txt, go.mod and others), finds the agent SDKs it uses, and builds a SKILL.md from Trustabl's detection rules for exactly those SDKs. An agent that reads the skill applies the rules while it writes code, instead of meeting them later as findings in a scan.

The skill is generated per repository. It is not a fixed skill to install, and it changes as your dependencies and Trustabl's rules change.

Supported SDKs include the Claude Agent SDK, OpenAI Agents SDK, Google ADK, MCP, LangChain and LangGraph, CrewAI, Pydantic AI, the Vercel AI SDK and AutoGen.

Install

Requires Node.js 22 or later. Every install below downloads the release file from GitHub.

Claude Code

claude mcp add agent-reliability-skills -- npx -y https://github.com/trustabl/agent-reliability-skills/releases/download/v0.1.0-rc.2/agent-reliability-skills-0.1.0-rc.2.tgz

Cursor

Add to .cursor/mcp.json in your project, or ~/.cursor/mcp.json for every project:

{
  "mcpServers": {
    "agent-reliability-skills": {
      "command": "npx",
      "args": ["-y", "https://github.com/trustabl/agent-reliability-skills/releases/download/v0.1.0-rc.2/agent-reliability-skills-0.1.0-rc.2.tgz"]
    }
  }
}

Claude Desktop

Open Settings → Developer → Edit Config and add the same mcpServers entry to claude_desktop_config.json, then restart Claude Desktop.

Claude Desktop has no project folder, so name the repository when you ask, for example: "Generate the Trustabl pre-coding skill for /Users/me/code/my-agent and write it to .claude/skills/trustabl-pre-coding/SKILL.md."

Related MCP server: patchwork

The trustabl_forge tool

Input

Required

Meaning

path

see below

Absolute path of the repository. A relative path is resolved against the client's workspace.

policy

no

SDK categories to add on top of the detected ones, for an SDK not yet in a manifest (for example openai_sdk).

lang

no

Languages to add: python, typescript, go.

output_path

no

Write the skill here, relative to the repository. Usually .claude/skills/trustabl-pre-coding/SKILL.md.

It returns a short summary (the SDKs covered, where the skill was written) and the SKILL.md content.

It writes a file only when output_path is given. The path must stay inside the repository, and an existing file is replaced only if Forge generated it, so regenerating a stale skill works but a hand-written file is never overwritten.

When path is needed

path is optional when your client reports its workspace through MCP roots, and required otherwise. Forge never guesses from the server's working directory, because some clients start servers from your home directory.

Client

Reports its workspace

Claude Code

pending

Cursor

pending

Claude Desktop

pending

Settings

Variable

Default

Meaning

TRUSTABL_VERSION

latest

Analyzer release to run, for example v0.1.15. Must be v0.1.14 or later.

GITHUB_TOKEN

unset

Used only to download the analyzer. Avoids GitHub's anonymous limit of 60 requests an hour.

TRUSTABL_BIN

unset

Path to a local trustabl build to run instead of downloading one.

The server runs the Trustabl analyzer's trustabl forge. On first use it downloads the analyzer release for your OS and architecture, checks it against the release's checksums.txt (a mismatch is a hard failure), and caches it in ~/.agent-reliability-skills/<version>/. The analyzer's own TRUSTABL_TELEMETRY setting applies to the binary it runs; analyzer telemetry is off until you configure it.

Network

The first call fetches two things: the analyzer binary, and Trustabl's rules repository, which the analyzer caches. After that both work offline from cache. No git binary is needed.

Download counts

Each release attaches agent-reliability-skills-<version>.tgz and checksums.txt, and every install above downloads the .tgz, so GitHub counts it. pending. A weekly workflow records the counts in .github/stats/download-history.json. They are downloads, not users, and include automated installs such as CI.

Releasing

  1. In one pull request, set version in package.json, update the release URLs in this README and mcp.json (CI fails until they match), run npm run build in server/, and commit dist/index.js.

  2. After it merges, tag the merge commit v<version> and push the tag. The release workflow checks the tag against package.json, packs the server, and publishes the .tgz with checksums.txt.

Security

See SECURITY.md.

Related MCP Connectors

Related MCP Servers

  • A
    license
    Not graded
    quality
    D
    maintenance
    Scans your source code using AST analysis to detect coding conventions, error handling, API patterns, and more, then generates a CONVENTIONS.md file to help AI agents follow your project's style.
    MIT
  • A
    license
    Not graded
    quality
    C
    maintenance
    Scans repositories to produce a readiness score and actionable fixes across positioning, tryability, community, MCP, and monetization, plus generates launch assets and sponsor-tier ideas.
    8 npm
    MIT