Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add valkor-ai/loom --skill mcp-drivergit clone --depth 1 https://github.com/valkor-ai/loomWrote 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/valkor-ai/loom/mcp-driver)<a href="https://agentmods.dev/skills/valkor-ai/loom/mcp-driver"><img src="https://agentmods.dev/badge/skills/valkor-ai/loom/mcp-driver.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00171 | $0.01110 |
| Opus 5 | $0.00086 | $0.00555 |
| Sonnet 5 | $0.00034 | $0.00222 |
| Haiku 4.5 | $0.00017 | $0.00111 |
Grade A, and why
mcp-driver 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 8d 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.
How it starts
The opening of the file, as written. The whole thing — 122 lines — stays where its author put it; the contents beside it link to each section on GitHub.
MCP Driver — Runtime Debug & Inspection
$ARGUMENTS
When to use this skill
MCP is the upgrade path when faster tools hit a wall. The fast loop handles most issues:
| Problem type | Fast path (no MCP) |
|---|---|
| Syntax / parse error | headless-build |
| Unit test failure | gdunit-driver |
| API lookup | godot-api |
Escalate to MCP when:
- Compile-pass / runtime-fail — headless-build says OK but something is wrong when the game actually runs
- Test-pass / behavior-wrong — unit tests pass but the game does not behave correctly in practice
- Visual issue — screen is black, sprites missing, z-order wrong, camera not following
- Input not working — keys/mouse/gamepad produce no response at runtime
- Physics misbehavior at runtime — objects pass through each other, wrong gravity, jittery movement
- Need live state — want to see the actual node tree, console output, or runtime errors
- Repeated headless failure — a fix has been attempted 2+ times via headless path without success
If none of these apply, use the fast path skill instead.
Debug-fix loop (overview)
When you escalate to MCP, follow this loop. Max 3 iterations before asking the user for help.
1. RUN — run_project (optionally with a specific scene)
2. CAPTURE — get_debug_output → collect errors, warnings, prints
3. ANALYZE — parse output, identify root cause
4. FIX — modify code / scene / config to address the issue
5. VERIFY — stop_project → run_project again, get_debug_output
6. REPORT — summarize what was wrong, what was changed, and the outcome
Each step is detailed in references/workflow.md. Common runtime issue patterns are in references/debug-patterns.md.
Project path
MCP tools require a projectPath parameter — the directory containing project.godot. Determine it from the current working directory or ask the user if ambiguous:
# Quick check
ls project.godot 2>/dev/null && echo "Project root: $(pwd)"
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 8d ago First seen · 122 lines · 171 tokens per session scan A 37bf98463398
mcp-driver is a skill published in the GitHub repository valkor-ai/loom (977 stars, last pushed 21d ago), licensed Apache-2.0. It adds 171 tokens to every session and 1,110 once invoked, about $0.0009 per session on Opus 5. 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 2026-08-30.
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