Borrowing it
Nothing to install: this file belongs to sandraschi/openclaw-molt-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/sandraschi/openclaw-molt-mcp/master/.opencode/skills/repo-standards/SKILL.mdgit clone --depth 1 https://github.com/sandraschi/openclaw-molt-mcpWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/sandraschi/openclaw-molt-mcp/repo-standards)<a href="https://agentmods.dev/skills/sandraschi/openclaw-molt-mcp/repo-standards"><img src="https://agentmods.dev/badge/skills/sandraschi/openclaw-molt-mcp/repo-standards/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/sandraschi/openclaw-molt-mcp/repo-standards"><img src="https://agentmods.dev/badge/skills/sandraschi/openclaw-molt-mcp/repo-standards.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00000 | $0.00406 |
| Opus 5 | $0.00000 | $0.00203 |
| Sonnet 5 | $0.00000 | $0.00081 |
| Haiku 4.5 | $0.00000 | $0.00041 |
Grade A, and why
repo-standards scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
openclaw-molt-mcp repo standards
Repo-local coding standards for agents working in D:\Dev\repos\openclaw-molt-mcp.
Stack
- Python 3.12 + FastMCP 3.4.4 (MCP tools), FastAPI (webapp API :10745), React/Vite/TS (webapp :10744), Tauri 2 (desktop).
- Python via
uv(never nakedpython); JS viabun(nevernpm).
Gates (must pass before done)
uv run ruff check .anduv run ruff format --check .uv run pyright srcuv run pytest --cov=openclaw_molt_mcp(threshold: 40%)- In
webapp/:bun run lint,bun run type-check,bun run build
Tool design
- Portmanteau pattern: one
@mcp.tool()per domain with anoperationLiteral enum. - Docstrings must include
**Operations:**,## Return Format,## Examples. - Return
{"success": bool, "message": str, "data": {...}};erroron failure.
Don'ts
- No hardcoded secrets/ports in source. Use
.env+ document in.env.example. - Do not commit
node_modules/,.venv/,.bak*,_llm_test_scripts/,dist/,target/. - Do not touch
web_sota/(deleted runt) or legacy ports 10764/10765/5180/5181 — use 10744 (frontend) / 10745 (backend) / 18789 (Gateway).
Fleet hub
Read D:\Dev\repos\mcp-central-docs\README.md and standards\AGENTS.md before significant work.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 11d ago First seen · 32 lines · 0 tokens per session scan A 4ba0b0c214c2
repo-standards is a skill published in the GitHub repository sandraschi/openclaw-molt-mcp (3 stars, last pushed 2d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 406 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other skills, from other repositories
quantum-qiskit
Reference qiskit 2.x patterns for variational quantum machine learning. Covers data-encoding feature maps, variational quantum classifier (VQC) training, variational quantum eigensolver (VQE) for chemistry, matrix-product-state circuits, and noise model integration. Use when writing Python code that imports qiskit…
python-expert
Python expert for stdlib, packaging, type hints, async/await, and performance optimization.
clawmetry-selfcheck
Read your own agent telemetry from ClawMetry (waste, progress, cost) and act on it before finishing a task. Use when ClawMetry is installed on this machine and you want to check whether you are re-reading files, spinning in loops, or burning budget.
clawmetry
Real-time observability for OpenClaw agents — local dashboard + optional encrypted cloud sync. Tracks costs, tokens, sessions, tool calls, memory, crons, and system health. Access from anywhere via ClawMetry Cloud.
agent-kill-switch
Give the human an off switch and a cost meter for the coding agents on this machine, using ClawMetry. Use when the user asks to stop or kill a runaway agent, see what an agent is doing or spending, cap agent spend, gate risky tool calls behind approval, or "set up a kill switch" for Claude Code, Codex, Cursor, Gemini…
python-heredoc
When running multi-line Python code or code with quotes, apostrophes, or f-strings via Bash, always use heredoc syntax instead of python -c to avoid shell quoting issues.