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 richkuo/rk-skills --skill fable-advisorgit clone --depth 1 https://github.com/richkuo/rk-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/richkuo/rk-skills/fable-advisor)<a href="https://agentmods.dev/skills/richkuo/rk-skills/fable-advisor"><img src="https://agentmods.dev/badge/skills/richkuo/rk-skills/fable-advisor/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/richkuo/rk-skills/fable-advisor"><img src="https://agentmods.dev/badge/skills/richkuo/rk-skills/fable-advisor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00108 | $0.01832 |
| Opus 5 | $0.00054 | $0.00916 |
| Sonnet 5 | $0.00022 | $0.00366 |
| Haiku 4.5 | $0.00011 | $0.00183 |
Grade A, and why
fable-advisor 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 3d 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 — 93 lines — stays where its author put it; the contents beside it link to each section on GitHub.
fable-advisor
The main agent (the executor) builds. A persistent Fable 5.1 advisor subagent writes the plan and answers checkpoint consults. A separate fresh Fable 5.1 reviewer gives the binding pre-commit verdict, so the plan's author never grades its own build. Never merge the two roles. An issue task runs work-on-issue's pipeline; a prose task takes a lighter path.
Input
An issue reference (URL, #<N>, <N>, owner/repo#N), a prose task, or both (the issue defines the task, the prose adds constraints). With an issue, the plan and the verdict are also posted as issue comments. Ask what to execute only when none is clear. With no issue, never invent one or post anywhere.
Model check
If the main agent already runs on Fable 5.1, say the advisor is redundant and ask whether to proceed, run the task directly, or switch to Sonnet first (/model sonnet).
Steps
1. Resolve and gate-check the issue (only if one is referenced)
gh issue view <N> --json number,title,body,url (add -R owner/repo for another repository). If it fails, stop and tell the user; never plan from a paraphrase. Record the number, title, and URL. Then run the two gates of work-on-issue step 0, before any advisor is spawned. With no issue, skip steps 3 and 8.
2. Spawn the advisor and get the plan
The advisor owns the plan; do not plan yourself. Load fable-dispatch before dispatching; its section 7 hygiene rules also govern the step 6 reviewer. Agent-tool path: subagent_type: Plan, model: fable, run_in_background: false, description: Advise on <short task name>. The prompt briefs a standing, read-only advisor with the full task (issue title and body for a bare reference), the working directory, the user's constraints, and its charter:
- First deliverable: a concrete, ordered plan with the implementation steps numbered, each ending in a verify point (the check that proves it done). Plan the absolute-best solution per CLAUDE.md.
- Each consult reply carries recommendation, rationale, confidence (high/medium/low), and a flag: advisory (the executor may overrule with a stated reason) or blocking (must be resolved before commit).
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.
- 3d ago Changed · -31 lines 8260c348b098
- 5d ago Changed · -53 lines · -67 tokens per session 6bb1b6c701e9
- 10d ago First seen · 177 lines · 175 tokens per session scan A 540c663b76be
fable-advisor is a skill published in the GitHub repository richkuo/rk-skills (49 stars, last pushed today), licensed MIT. It adds 108 tokens to every session and 1,832 once invoked, about $0.0005 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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