Borrowing it
Nothing to install: this file belongs to wilfredinni/noodle. 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/wilfredinni/noodle/main/.agents/skills/noodle-use/SKILL.mdgit clone --depth 1 https://github.com/wilfredinni/noodleWrote 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/wilfredinni/noodle/noodle-use)<a href="https://agentmods.dev/skills/wilfredinni/noodle/noodle-use"><img src="https://agentmods.dev/badge/skills/wilfredinni/noodle/noodle-use/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/wilfredinni/noodle/noodle-use"><img src="https://agentmods.dev/badge/skills/wilfredinni/noodle/noodle-use.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Privilege Escalation · line 92 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
- medium Rogue Agent · line 23 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
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 | $0.00036 | $0.03233 |
| Opus 5 | $0.00018 | $0.01617 |
| Sonnet 5 | $0.00007 | $0.00647 |
| Haiku 4.5 | $0.00004 | $0.00323 |
Grade A, and why
noodle-use 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 3d 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 — 157 lines — stays where its author put it; the contents beside it link to each section on GitHub.
noodle-use
Terminal REST client. YAML files on disk. Dotenv environments. Prefer supported non-interactive automation commands; use file-level operations for richer collection edits. No Bun dependency.
Quick routing
| Intent | Read |
|---|---|
| Create new collection, request, folder, or environment | workflows/create.md |
| Configure collection metadata, history, cookies, proxy, or TLS | workflows/create.md |
| Script collection discovery, validation, execution, or simple mutations | workflows/automation.md |
| Refactor, rename, restructure existing collection | workflows/organize.md |
| Audit collection for REST best practices and security | workflows/evaluate.md |
| Import or export OpenAPI, Swagger, Postman, or Insomnia collections via CLI | workflows/import.md |
| Convert a cURL command or unsupported format at file level | workflows/convert.md |
| Understand file formats, schemas, field rules | schema.md |
| Understand naming conventions, ID rules, variable syntax | reference/conventions.md |
| Read/write ~/.config/noodle/ settings | reference/config.md |
| See annotated example files | reference/examples.md |
Critical rules
These apply to ALL operations. Read before any workflow.
Non-interactive CLI first
Do NOT import noodle's internal modules or run bun. Never run noodle in TUI mode; that's for humans. Use supported non-interactive commands (workspace list, collection ..., request ..., environment set, secret ..., cookie ..., import, and export) when they fully express the task. Use direct .yml and .env edits for folders, request bodies, auth, headers, params, captures, assertions, new environment files, secret declarations, and conversions not supported by the CLI. Pass --json when output will be consumed programmatically.
What ships with it
10 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.
- 3d ago Changed · +32 lines 62fec54bf239
- 4d ago Changed 16b8f3d5016d
- 6d ago Changed · +5 lines 66c32aece870
- 10d ago First seen · 120 lines · 36 tokens per session scan A 25ab5b823387
noodle-use is a skill published in the GitHub repository wilfredinni/noodle (323 stars, last pushed yesterday), licensed Apache-2.0. It adds 36 tokens to every session and 3,233 once invoked, about $0.0002 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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