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 agentmods add skills/valkor-ai/loom/gdtoolkitnpx skills add valkor-ai/loom --skill gdtoolkitgit 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/gdtoolkit)<a href="https://agentmods.dev/skills/valkor-ai/loom/gdtoolkit"><img src="https://agentmods.dev/badge/skills/valkor-ai/loom/gdtoolkit.svg" alt="Measured on agentmods" 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 | $0.00083 | $0.02207 |
| Opus 5 | $0.00042 | $0.01104 |
| Sonnet 5 | $0.00017 | $0.00441 |
| Haiku 4.5 | $0.00008 | $0.00221 |
Grade A, and why
gdtoolkit 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 6d 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 — 247 lines — stays where its author put it; the contents beside it link to each section on GitHub.
gdtoolkit — GDScript Lint & Format
Use this as an optional local lint pass. Headless compilation and the project's tests remain the acceptance checks; lint output alone is not a reason to change working Godot code.
Wraps two CLI tools from the gdtoolkit Python package:
- gdlint — static analysis and style checking
- gdformat — deterministic auto-formatter
Prerequisites
pip install "gdtoolkit==4.*" # Godot 4 projects
pip install "gdtoolkit==3.*" # Godot 3 projects
Verify installation: gdlint --version && gdformat --version
If not installed, tell the user and offer to install. The version major must match
the project's Godot major version (read from project.godot config/features).
Lint workflow
Run gdlint
gdlint path/to/file.gd # single file
gdlint path/to/directory/ # all .gd files recursively
Interpret output
Each problem is one line on stderr:
path/to/file.gd:42: Error: Function name "MyFunc" is not valid (function-name)
Format: {file}:{line}: Error: {message} ({rule-id})
Exit codes:
- 0 — no problems (stdout:
Success: no problems found) - 1 — problems found (stderr:
Failure: N problem(s) found)
Fix lint issues
For each reported issue, either:
- Fix the code — rename to match convention, remove unused arg, reorder members
- Suppress inline — when the violation is intentional:
# gdlint:ignore = rule-id var _unusedButNeeded := 0 # this line + next line are suppressed - Suppress region — for larger blocks:
# gdlint: disable=function-name func ALLCAPS_required_by_engine(): pass # gdlint: enable=function-name
When suppressing, always add a brief comment explaining why.
Format workflow
Run gdformat
gdformat path/to/file.gd # format in-place
gdformat path/to/directory/ # format all .gd files
gdformat --check path/ # check only, don't modify (exit 1 if changes needed)
gdformat --diff path/ # show unified diff on stderr, don't modify
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.
- 6d ago First seen · 247 lines · 83 tokens per session scan A 87caf3b4a37d
gdtoolkit is a skill published in the GitHub repository valkor-ai/loom (960 stars, last pushed 19d ago), licensed Apache-2.0. It adds 83 tokens to every session and 2,207 once invoked, about $0.0004 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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