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/poteto/noodle/debuggingnpx skills add poteto/noodle --skill debugginggit clone --depth 1 https://github.com/poteto/noodleWhat 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 | $0.00047 | $0.00944 |
| Opus 5 | $0.00023 | $0.00472 |
| Sonnet 5 | $0.00009 | $0.00189 |
| Haiku 4.5 | $0.00005 | $0.00094 |
Grade A, and why
debugging 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 2d 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 — 65 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Debugging
Read [[principles/fix-root-causes]] before starting. Every debugging session follows that principle: trace to root cause, never paper over symptoms.
Process
-
Reproduce. Get the exact error. Run the failing command, read the full output. If you can't reproduce, you can't verify your fix.
-
Read the error. The error message, stack trace, and line numbers are data. Read all of it before forming hypotheses. Most bugs tell you exactly where they are.
-
Suspect state before code. Before debugging code, check persistent state — especially on restart bugs or environment drift. See [[principles/fix-root-causes]].
- Noodle state:
.noodle/orders.json(stale items?),.noodle/sessions/(orphaned?),.noodle.toml(valid?) - Environment: tmux sessions (
tmux ls), lock files, cached artifacts - Config:
.noodle.tomlvalidation (noodle startreports diagnostics), skill frontmatter parse errors - Persistent files: brain/ notes, plan files, todos — check for corruption or stale references
- Noodle state:
-
Isolate. Narrow the scope. Which file? Which function? Which line? Use binary search: comment out half, see if it still fails, repeat.
-
Find root cause. The first "fix" that comes to mind is usually a symptom fix. Ask "why?" until you hit the actual cause:
- Test fails → mock is wrong → interface changed → type doesn't match runtime shape → fix the type
- Build fails → import error → circular dependency → restructure the modules
- Runtime crash → undefined value → missing null check → data source returns null on empty → handle empty case at the source
-
Fix and verify. Fix the root cause, not the symptom. Then verify: run the test, run the build, exercise the feature path. "It compiles" is not verification.
-
Check for the pattern. If the bug existed in one place, grep for the same pattern elsewhere. Fix all instances, or make it structurally impossible.
Noodle-Specific Diagnostics
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.
- 2d ago First seen · 65 lines · 47 tokens per session scan A a7618ade945f
debugging is a skill published in the GitHub repository poteto/noodle (263 stars, last pushed 5mo ago), licensed MIT. It adds 47 tokens to every session and 944 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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