Atlas / MCP servers / fkesheh / Skill

SkillSAFE

mcp/fkesheh/skill

LLM-managed skills platform using MCP - create, edit, and execute skills programmatically in Claude, Cursor, and any MCP-compatible client without manual file uploads.

Verdict
SAFE
Grade
B
Trust score
89 /100
Exposed tools
5 3r · 2w · 0d
Transport
stdio
License
MIT
Stars
31
01

Overview

From the repository's own README, as read at the audited commit. Badges and raw HTML are left out.

A Model Context Protocol (MCP) server that enables Claude to manage skills stored in ~/.skill-mcp/skills. This system allows Claude to create, edit, run, and manage skills programmatically, including execution of skill scripts with environment variables.

Quick Status

Status: ✅ Production Ready Test Coverage: 86% (145/145 tests passing) Deployed: October 18, 2025 Architecture: 22-module modular Python package with unified CRUD architecture

Overview

TL;DR: Write Python code that unifies multiple skills in one execution - follows Anthropic's MCP pattern for 98.7% more efficient agents.

This project consists of two main components:

  1. MCP Server (src/skill_mcp/server.py) - A Python package providing 5 unified CRUD tools for skill management
  2. Skills Directory (~/.skill-mcp/skills/) - Where you store and manage your skills

Key Advantages

🚀 Unified Multi-Skill Execution (Code Execution with MCP)

Build once, compose everywhere - Execute Python code that seamlessly combines multiple skills in a single run:

# One execution, multiple skills unified!
# Imports from calculator, data-processor, and weather skills
from math_utils import calculate_average          # calculator skill
from json_fetcher import fetch_json                # data-processor skill
from weather_api import get_forecast               # weather skill

# Fetch weather data
weather = fetch_json('https://api.weather.com/cities')

# Calculate averages using calculator utilities
temps = [city['temp'] for city in weather['cities']]
avg_temp = calculate_average(temps)

# Get detailed forecast
forecast = get_forecast('London')
print(f"Average temperature: {avg_temp}°F")
print(f"London forecast: {forecast}")

What makes this powerful:

  • ✅ Context-efficient - Dependencies and env vars auto-aggregated from all referenced skills
  • ✅ **Composable
Read from source at commit fa65cf7a0c22OBSERVED · 2026-10-08
02

Connect

Built from this server's own package name, version and transport as found in its source — not copied from anyone's documentation, so it cannot drift against a page we do not control. Replace the environment placeholders with a token scoped to the least it needs.

claude-code
claude mcp add skill-mcp --env API_KEY=${API_KEY} -- uvx skill-mcp
claude-desktop
{
  "mcpServers": {
    "skill-mcp": {
      "command": "uvx",
      "args": [
        "skill-mcp"
      ],
      "env": {
        "API_KEY": "${API_KEY}"
      }
    }
  }
}
03

Exposed tools (5)

3 read · 2 write · 0 destructive.

ToolRiskDescription
execute_python_codewrite
run_skill_scriptwrite
skill_crudread
skill_env_crudread
skill_files_crudread
04

Trust audit

SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.

LayerWhat it checksResult
L0Provenance & inventoryPASS
L1Static analysis of the codePASS
L2Instruction surface (what it tells the agent)PASS
L3Class-specific surfacePASS
L4Behavioural (sandbox)SKIPPED

What the source does

Filesystem
declared (1 observation(s))
Network
declared (1 observation(s))
Shell
none-observed
Dependencies
pinned
Secrets in source
none-found

Findings (12)

LOWInventory / provenance · inv.hidden_file · CWE-1104
.pre-commit-config.yaml
.pre-commit-config.yaml
Why it matters. hidden member outside the usual dotfiles
Fix. review its purpose
LOWInformation disclosure · disclose.log_secret · CWE-209, CWE-532
tests/test_script_service.py:330
print(f"API_KEY: {api_key}")
LOWFilesystem / path · fs.traversal · CWE-22, CWE-59
tests/test_path_utils.py:37
validate_path(skill_name, "../../../etc/passwd")
LOWFilesystem / path · fs.traversal · CWE-22, CWE-59
tests/test_script_service.py:52
await ScriptService.run_script("test-skill", "../../etc/passwd")
LOWFilesystem / path · fs.traversal · CWE-22, CWE-59
tests/test_script_service.py:81
"test-skill", "scripts/test.py", working_dir="../../etc"
INFOPrompt injection · prompt.authority_framing · CWE-94, CWE-1427
README.md:884
6. **Run with minimal permissions** - Don't run skills as root or with elevated privileges
INFOPrompt injection · prompt.credential_read · CWE-94, CWE-1427
CLAUDE.md:7
**skill-mcp** is a Model Context Protocol (MCP) server that enables LLMs to manage skills stored in `~/.skill-mcp/skills`. The system uses a unified CRUD architecture to provide programmatic access to
Why it matters. asks the agent to read credentials
INFOPrompt injection · prompt.credential_read · CWE-94, CWE-1427
README.md:420
# api_client.py can access API_KEY and API_URL from its .env file
Why it matters. asks the agent to read credentials
INFOPrompt injection · prompt.credential_read · CWE-94, CWE-1427
README.md:426
- ✅ No need to manually load .env files
Why it matters. asks the agent to read credentials
INFOPrompt injection · prompt.credential_read · CWE-94, CWE-1427
README.md:592
- **read** - List environment variable keys for a skill (values hidden for security)
Why it matters. asks the agent to read credentials
INFOPrompt injection · prompt.credential_read · CWE-94, CWE-1427
README.md:754
- ✅ Read/set/delete/clear environment variables
Why it matters. asks the agent to read credentials
INFOSupply chain · prompt.pipe_to_shell · CWE-829, CWE-1357
README.md:185
curl -LsSf https://astral.sh/uv/install.sh | sh

Gates applied: no_behavioural_pass.

Audited 2026-10-08 · audit v0.4.1 · source sha fa65cf7a0c22full audit observations/trust-audit/mcp-server/fkesheh__skill.json · Report an issue / request a re-scan
05

Audit history

Every audit this server has had. A grade with a past is a grade somebody is still checking.

DateSourceVerdictGradeScoreChange
2026-10-08fa65cf7a0c22SAFEB89first audit
06

Questions

What is the Skill MCP server?

LLM-managed skills platform using MCP - create, edit, and execute skills programmatically in Claude, Cursor, and any MCP-compatible client without manual file uploads.

What tools does Skill expose?

5 in total: 3 read-only, 2 that write, and 0 that can delete or overwrite. Every one is listed on this page with its risk.

Is Skill safe to connect to an agent?

The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean server reads B.

What credentials does Skill need?

It reads API_KEY from the environment. Give it a token scoped to the least it needs — an agent that can be talked into calling a tool can be talked into calling it with your credentials.

How does Skill run?

It speaks stdio, so it runs as a local process your client starts. It is published on PyPI as skill-mcp.

How current is this page?

The grade is for one exact copy of the source (fa65cf7a0c22), read on 2026-10-08. The repository is watched and re-audited when it changes.

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