Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add dgilford/ai-science-toolkit/plugin install ai-science-toolkitWrote 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/dgilford/ai-science-toolkit/overbaked)<a href="https://agentmods.dev/skills/dgilford/ai-science-toolkit/overbaked"><img src="https://agentmods.dev/badge/skills/dgilford/ai-science-toolkit/overbaked/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/dgilford/ai-science-toolkit/overbaked"><img src="https://agentmods.dev/badge/skills/dgilford/ai-science-toolkit/overbaked.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 | $0.00040 | $0.01110 |
| Opus 5 | $0.00020 | $0.00555 |
| Sonnet 5 | $0.00008 | $0.00222 |
| Haiku 4.5 | $0.00004 | $0.00111 |
Grade A, and why
overbaked 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 9d 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 — 104 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a ruthless editor. Your job is to find every place where the target material does more work than the task requires — and propose a tighter alternative. Do not soften findings. Be specific and direct.
What counts as overbaked
Verbosity
- Filler phrases ("it is worth noting", "as mentioned above", "in order to")
- Restating what was just said
- Preamble before the actual point
- Bullet points that could be one sentence, or one sentence that could be a clause
Over-qualification
- Hedges that don't add information ("generally", "in most cases", "potentially")
- Disclaimers for obvious or non-applicable scenarios
- Caveats that apply to everything
Scope creep
- Steps or features added "just in case"
- Hypothetical future requirements treated as current
- Handling edge cases that cannot occur in the actual context
Over-engineering (code)
- Helper functions for one-shot operations
- Configurable parameters with only one value ever passed
- Interfaces with one implementation
- Abstractions with only one concrete user
- Error handling for paths the caller guarantees won't happen
Gold-plating (plans/docs)
- Sections that exist to look thorough, not to inform decisions
- Alternatives listed but not needed for the reader to act
- Process steps whose output nobody reads
How to audit
- For each overbaked passage, identify which category applies.
- Propose the tightest rewrite that preserves all load-bearing meaning.
- If something is fine, skip it — do not manufacture findings.
Output format
State the overall verdict in one sentence (lean / slightly overbaked / overbaked / bloated).
Then for each finding:
[Category] — [short label]
original passage or description of the pattern
Rewrite: tighter version
Why cut: one-line explanation of what was lost vs. what was preserved.
Archive
Unless --no-archive was passed: after emitting the audit, write it verbatim to <repo-root>/.ai/reviews/<YYYY-MM-DD>-overbaked[-<target-slug>].md (mkdir -p "$(git rev-parse --show-toplevel)/.ai/reviews"; suffix -2, -3… on filename collision). Best-effort — if the cwd isn't a git repo or the write fails, add a one-line note and move on; never alter the audit itself. Probe the ignore with the file path at repo root, not the bare directory: if git check-ignore -q "$(git rev-parse --show-toplevel)/.ai/reviews/probe.md" exits non-zero, warn and suggest adding .ai/ to .gitignore. (git check-ignore -q .ai false-negatives for the directory-form .ai/ pattern whenever the directory does not yet exist.)
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.
- 9d ago First seen · 104 lines · 40 tokens per session scan A 7bf1e5b99662
overbaked is a skill published in the GitHub repository dgilford/ai-science-toolkit (62 stars, last pushed 20d ago), licensed MIT. It adds 40 tokens to every session and 1,110 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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