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 rhein1/fable5-codex --skill fable-design-optionsgit clone --depth 1 https://github.com/rhein1/fable5-codexWrote 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/rhein1/fable5-codex/fable-design-options)<a href="https://agentmods.dev/skills/rhein1/fable5-codex/fable-design-options"><img src="https://agentmods.dev/badge/skills/rhein1/fable5-codex/fable-design-options/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/rhein1/fable5-codex/fable-design-options"><img src="https://agentmods.dev/badge/skills/rhein1/fable5-codex/fable-design-options.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 | $0.00060 | $0.00574 |
| Opus 5.5 | $0.00024 | $0.00230 |
| Sonnet 5.5 | $0.00012 | $0.00115 |
| Haiku 4.5 | $0.00006 | $0.00057 |
Grade A, and why
fable-design-options 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 15d 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 — 39 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Fable Design Options
Generate options after reading the actual system. Avoid abstract architecture advice when source evidence is available.
For ECF-style governed runs, use ../../references/ecf-run-contract.md. For large or high-risk design-option tasks, use real Codex subagents when the runtime exposes a subagent tool and the user has not opted out; treat architecture, migration, API, data model, security/privacy/money/data/API, operational, release, or cross-module decisions as large by default. Otherwise run single-agent multi-lens and say why no subagents were used when workflow trace is requested.
Use the centralized capability-aware profiles in ../../references/model-support.md and ../../config/model-profiles.json. Keep model and reasoning selections configurable, preserve explicit overrides, and record the requested and actual coordinator model and effort and requested and actual worker model plus any fallback. Request parallel delegation only for useful disjoint lenses; report single-agent multi-lens when no workers ran. The coordinator owns synthesis and final verification. Never claim a model, effort or subagent ran without runtime evidence.
Workflow
- Clarify the decision, constraints, authority boundaries, and success criteria from the prompt and repo instructions.
- Declare the ECF run mode when the user asks for ECF, subagents, or a receipt.
- Read the relevant implementation, callers/importers, tests, docs, and operational surfaces.
- Identify hard constraints: public contracts, migration compatibility, security/privacy rules, performance needs, deploy boundaries, and rollback requirements.
- Produce 2-4 viable options. Include a conservative option and a higher-leverage option when both are realistic.
- For each option, state:
- implementation shape
- benefits
- risks
- migration/rollback path
- tests or probes needed
- evidence that makes it fit or not fit the repo
- Recommend one option only after comparing it against the constraints.
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.
- 15d ago Changed 05e94d8fb1bd
- 1mo ago Changed 76d255c26b0a
- 2mo ago First seen · 39 lines · 60 tokens per session scan A d3c8b4751325
fable-design-options is a skill published in the GitHub repository rhein1/fable5-codex (4 stars, last pushed 4d ago), licensed MIT. It adds 60 tokens to every session and 574 once invoked, about $0.0002 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 2026-08-31.
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