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 yohey-w/codd-dev --skill codd-fable-consultgit clone --depth 1 https://github.com/yohey-w/codd-devWrote 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/yohey-w/codd-dev/codd-fable-consult)<a href="https://agentmods.dev/skills/yohey-w/codd-dev/codd-fable-consult"><img src="https://agentmods.dev/badge/skills/yohey-w/codd-dev/codd-fable-consult/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/yohey-w/codd-dev/codd-fable-consult"><img src="https://agentmods.dev/badge/skills/yohey-w/codd-dev/codd-fable-consult.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 5 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 Excessive Agency · line 48 Skill selects an external model or provider that may use a different account or billing plan than the operator expects. Undisclosed model switches can cause unexpected cost or quota consumption.Fix: Remove the model/provider override or disclose it prominently and require explicit operator approval before invoking an external coding CLI or billed model.
- medium Rogue Agent · line 41 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.
- medium Rogue Agent · line 48 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.
- medium Excessive Agency · line 35 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
- medium Rogue Agent · line 51 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 | $0.00112 | $0.03392 |
| Opus 5.5 | $0.00045 | $0.01357 |
| Sonnet 5.5 | $0.00022 | $0.00678 |
| Haiku 4.5 | $0.00011 | $0.00339 |
Grade A, and why
codd-fable-consult 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 1mo 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 — 167 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CoDD × Fable — Strategic Design Consultation
Route a genuinely hard CoDD design fork to Claude Fable 5 instead of guessing, drive-by patching, or letting a subagent design in a vacuum. This skill exists because a real consultation this project ran (the Java/C#/C++ marker-authenticity delegated-assertion gap, 2026-07-01/02) produced a design far better than an ad-hoc prompt would have — but only once several specific ingredients were deliberately injected. Skip any of them and you get generic, ungrounded, or overfit advice instead.
When to Use
Only after diagnosis is already done and the case genuinely meets all of these:
- A real bug/gap has been root-caused with concrete evidence (ideally from a live dogfood run, not a hypothetical) — not "something might be wrong," but "here is exactly what fails and why."
- A quick mechanical patch would be wrong, not just tedious. Signs: the fix would hardcode a framework/instance-specific special case into shared code; the fix could be done three different reasonable ways with real tradeoffs; the fix spans multiple language adapters and a per-language patch would duplicate audited logic; there's a live risk of solving today's instance while creating tomorrow's overfit.
- The decision is squarely inside CoDD's own stated hard invariants (generality-first, anti-false-green/anti-false-red, owner-not-a-bottleneck) such that getting it wrong would violate one of them, not just be suboptimal.
Do NOT use this for:
- A bug with one obviously correct fix — just fix it, and cite
codd/coverage_execution_coherence.py-style commits (this project has many) as the bar for a well-scoped, well-tested mechanical patch. - Exploratory "what should we build next" prioritization — that's a Gunshi/owner conversation, not a design-fork consultation.
- Anything where the honest answer is "we don't have enough live evidence yet" — go get a live failure first (via a normal investigation agent), then come back here.
Why the Naive Version Fails (what this skill fixes)
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.
- 1mo ago First seen · 167 lines · 112 tokens per session scan A a88458955e83
codd-fable-consult is a skill published in the GitHub repository yohey-w/codd-dev (115 stars, last pushed 1mo ago), licensed MIT. It adds 112 tokens to every session and 3,392 once invoked, about $0.0004 per session on Opus 5.5. 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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