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 kpab/claude-fable-5-skills --skill skill-refactorergit clone --depth 1 https://github.com/kpab/claude-fable-5-skillsWrote 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/kpab/claude-fable-5-skills/skill-refactorer)<a href="https://agentmods.dev/skills/kpab/claude-fable-5-skills/skill-refactorer"><img src="https://agentmods.dev/badge/skills/kpab/claude-fable-5-skills/skill-refactorer/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/kpab/claude-fable-5-skills/skill-refactorer"><img src="https://agentmods.dev/badge/skills/kpab/claude-fable-5-skills/skill-refactorer.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 | $0.00122 | $0.00972 |
| Opus 5 | $0.00061 | $0.00486 |
| Sonnet 5 | $0.00024 | $0.00194 |
| Haiku 4.5 | $0.00012 | $0.00097 |
Grade A, and why
skill-refactorer 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 8d 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 — 40 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill Refactorer for Claude Fable 5 / 5.1
Skills and prompts written for earlier Claude models often encode capability compensation: step-by-step hand-holding, exhaustive enumeration of edge cases, and rigid micro-workflows that existed because older models needed them. Fable 5 and 5.1 follow instructions strictly enough that this old scaffolding becomes a straitjacket — the model obeys the obsolete recipe instead of using its own (now better) judgment. The result is output that is worse than no skill at all. Fable 5 prompts generally carry over to 5.1 unchanged, but 5.1 narrates less and formats less by default, so lines written to suppress either now cut into what the reader needs.
Your job: separate what the instruction protects from how it micromanages, keep the former, delete the latter.
Workflow
- Inventory. List every imperative instruction in the target skill/prompt as a separate line item.
- Classify each item into exactly one bucket:
- Guardrail — protects against a real, current risk (data loss, secrets, destructive commands, compliance). KEEP.
- Preference — a genuine style/format choice the owner still wants (tone, language, naming conventions). KEEP, but compress to one sentence if it sprawls.
- Compensation — exists only because an older model would otherwise fail (forced step sequences, "always re-read the file before editing", verbose output templates, repeated "do not forget" reminders, enumerations of failure modes the model no longer exhibits). DELETE or replace with a single statement of intent.
- Rewrite. For every deleted compensation, ask: "what outcome was this trying to guarantee?" If the outcome still matters, state the outcome once, not the procedure. Example:
- Before: "Step 1: open the file. Step 2: locate the function. Step 3: copy it to a scratch buffer. Step 4: edit the copy. Step 5: diff against the original. Step 6: ..."
- After: "Edits must be verifiable: keep a way to diff your change against the original before finalizing."
- Tighten the description field. Triggering logic stays in frontmatter
description; the body should assume the skill already fired. - Length check. A refactored skill is typically 30–60% shorter. If it isn't, re-run step 2 — you kept compensations.
- A/B test. Run one representative task with the old skill and one with the refactored skill. Compare outputs with the user before declaring victory. Afterward the model can keep the skill current from what it learns in-task, under these same rules: propose the edit, never drop a guardrail silently.
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.
- 8d ago Changed · +2 lines · +28 tokens per session ec3406ea2a0a
- 12d ago First seen · 38 lines · 94 tokens per session scan A 133fe81100f6
skill-refactorer is a skill published in the GitHub repository kpab/claude-fable-5-skills (17 stars, last pushed 9d ago), licensed MIT. It adds 122 tokens to every session and 972 once invoked, about $0.0006 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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