Chalk Labs
Need help deploying setup?
Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/melek-setup
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
Get the weekly diff
The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.
About
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/setup
What's inside
- Skill name
setup- Description
- Validate LCARS installation and diagnose issues
- License
- MIT
- Instructions
- 82 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# LCARS Setup Diagnostic
Run installation checks and surface actionable fixes.
## Instructions
When user runs `/lcars:setup`:
1. Run the diagnostic script:
```bash
sh ${CLAUDE_PLUGIN_ROOT}/bin/python-shim.sh ${CLAUDE_PLUGIN_ROOT}/lib/setup.py
```
2. Present results as a table:
| Check | Status | Detail |
|-------|--------|--------|
| python | pass/fail/warn | version and path |
| dirs | pass/fail | data directory status |
| scores | pass/fail/warn | scoring ledger status |
| thresholds | pass/fail/warn | config validity |
| imports | pass/fail | module availability |
| scoring | pass/fail/warn | pipeline test result |
| tool-factory | pass/fail/warn | MCP server config |
| hybrid | pass/info | LLM judge availability |
3. For any failures, provide platform-specific remediation:
### Python not found or too old
- **macOS**: `brew install python@3.12`
- **Linux (Debian/Ubuntu)**: `sudo apt install python3`
- **Linux (Fedora)**: `sudo dnf install python3`
- **Windows**: Install from [python.org](https://www.python.org/downloads/) or `winget install Python.Python.3.12`
### Data directory missing
The directory `~/.claude/lcars/` is created automatically on first hook run. If missing:
- Verify LCARS is installed as a Claude Code plugin (`claude mcp list` or check `~/.claude/plugins/`)
- Start a new Claude Code session to trigger the SessionStart hook
### Scores empty or stale
- Scores are recorded by the Stop hook after each response
- If empty after multiple sessions, check that hooks are firing (`hooks.json` is loaded)
### Thresholds missing or invalid
- The file `data/thresholds.json` ships with the plugin
- If missing, the plugin installation may be incomplete — reinstall
### Import failures
- Ensure the plugin files are intact (no missing `lib/*.py` modules)
- Reinstall the plugin if files are missing
### Tool-factory missing dependencies
The tool-factory MCP server requires `mcp` and `anyio` Python packages. These are not bundled with the plugin because they are pip-installable packages that depend on the user's Python environment.
If the check reports missing packages, offer to install them. Detect the best available installer:
1. **`uv`:** `uv pip install --system -r ${CLAUDE_PLUGIN_ROOT}/tool_factory/requirements.txt` (or without `--system` if in a venv)
2. **`pip`:** `pip install -r ${CLAUDE_PLUGIN_ROOT}/tool_factory/requirements.txt`
3. **`pip3`:** `pip3 install -r ${CLAUDE_PLUGIN_ROOT}/tool_factory/requirements.txt`
If the system Python is externally managed (Debian/Ubuntu) and `--system` fails, suggest:
- `uv pip install --system --break-system-packages -r ${CLAUDE_PLUGIN_ROOT}/tool_factory/requirements.txt`
- Or install into a user site: `pip install --user -r ${CLAUDE_PLUGIN_ROOT}/tool_factory/requirements.txt`
After installing, the tool-factory server will connect on next plugin reload (`/reload-plugins`).
### Hybrid scoring
Hybrid scoring uses a prompt-type hook on Stop to evaluate responses via Claude Code's own auth. No separate API key needed. If the check reports "deterministic-only," verify that `hooks/hooks.json` contains a prompt-type hook in the Stop event.
## Output Format
Present as a compact diagnostic summary. No preambles. Data first.From melek/lcars, MIT.
More from melek/lcars
- 0.409score
fmea
melek
Interactive failure mode analysis for response breakdowns.
SkillDFreshness: DClaude Code +9 - 0.404score
consolidate
melek
Manually trigger LCARS pattern consolidation from session summaries
SkillDFreshness: DClaude Code +9 - 0.404score
dashboard
melek
Show LCARS scoring stats, drift history, correction fitness rate, and active patterns
SkillDFreshness: DClaude Code +9 - 0.404score
deep-eval
melek
On-demand LLM-as-judge evaluation of response quality against a structured rubric
SkillDFreshness: DClaude Code +9 - 0.404score
foundry
melek
Review and apply LCARS strategy proposals crystallized from observed drift patterns
SkillDFreshness: DClaude Code +9 - 0.404score
discover
melek
Scan environment for non-standard CLI tools and show registry status
SkillDFreshness: DClaude Code +9 - 0.404score
calibrate
melek
Propose LCARS threshold adjustments based on accumulated scoring evidence
SkillDFreshness: DClaude Code +9 - 0.401score
help
melek
Show available LCARS skills grouped by purpose
SkillDFreshness: DClaude Code +9
Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 8
- Last commit (this folder)
- Apr 5, 2026 (6 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/melek/lcars
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from melek
- 0.409score
fmea
melek
Interactive failure mode analysis for response breakdowns.
SkillDFreshness: DClaude Code +9 - 0.404score
consolidate
melek
Manually trigger LCARS pattern consolidation from session summaries
SkillDFreshness: DClaude Code +9 - 0.404score
dashboard
melek
Show LCARS scoring stats, drift history, correction fitness rate, and active patterns
SkillDFreshness: DClaude Code +9 - 0.404score
deep-eval
melek
On-demand LLM-as-judge evaluation of response quality against a structured rubric
SkillDFreshness: DClaude Code +9 - 0.404score
foundry
melek
Review and apply LCARS strategy proposals crystallized from observed drift patterns
SkillDFreshness: DClaude Code +9 - 0.404score
discover
melek
Scan environment for non-standard CLI tools and show registry status
SkillDFreshness: DClaude Code +9
Done for you
Rather not set it up yourself?
Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.
See how we build AI agents →Read the case studies
Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
- launches shipped
- 50+
- launches shipped
- media placements
- 500+
- media placements
- founders on every account
- 2
- founders on every account
Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block
Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
Get setup running in your business
Tell us what you want to automate. A founder replies within one working day with a plan, not a pitch deck.
Cite this page
setup skill. Agent Mart. https://agentmart.dev/skills/melek-setup (last updated 2026-10-24)