Home / richkuo / rk-skills · skills/fableplan-loop/SKILL.md · GitHub

fableplan-loop skillA

fableplan-loop is agent-read markdown (skill) from richkuo/rk-skills: Use when the user wants a GitHub issue planned by Fable 5.1 and then autonomously driven to a reviewed PR in one shot, without validation — "fableplan-loop", "fableplan #N and loop until approved", "plan #N with fable then drive it to a reviewed PR". Runs the fableplan planning phase (Fable 5.1 produces and posts an implementation plan to the issue), then hands off to work-on-issue-loop, which implements the plan in an isolated worktree, opens a PR, triggers @claude review, and fix-pr-review cyc.

Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.

What the file says

# fableplan-loop

Chain fableplan → work-on-issue-loop into one autonomous run: Fable 5.1 plans the implementation for a GitHub issue (plan posted to the issue), then work-on-issue-loop implements that plan in an isolated worktree, opens a PR that closes the issue, and drives the PR through `@claude` review to convergence.

This is **fableplan-work-on-issue with the review loop added back** — the handoff goes to `work-on-issue-loop` (implement → PR → trigger `@claude` → fix-pr-review cycles until LGTM) instead of `work-on-issue` (single-shot, ends at the open PR). Equivalently, it's **validate-fableplan-loop with the validation stage removed**: no `validate-issue`, no update-issue edits, and no score gate — fableplan always runs. Reach for this when you already trust the issue, want a Fable-vetted plan, and want the PR reviewed to convergence without coming back.
…

Read the whole file at its exact version.

How to install

Latest version
mdr add richkuo/rk-skills/fableplan-loop@git:20260923.3e8350a
Exact content
mdr add richkuo/rk-skills/fableplan-loop@sha256:7939d27ba289eaa6

Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.

Badge

mdr badge

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Versions

versioncommittedcommitsizeaudit
git:20260923.3e8350a latest2026-09-23 3e8350a 6,636 BA view · diff
git:20260903.9f8defc2026-09-03 9f8defc 6,602 BA view · diff
git:20260901.6c08e4b2026-09-01 6c08e4b 6,292 BA view · diff
git:20260817.1ff47312026-08-17 1ff4731 6,282 BA view · diff
git:20260810.55db87e2026-08-10 55db87e 6,725 BA view · diff
git:20260808.babc8942026-08-08 babc894 6,604 BA view

Audit of the latest version

A  17 of 17 checks passed. Deterministic, no model, same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (6636 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

richkuo/rk-skills · 49 stars · license MIT · pushed 2026-09-24 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_64d4tvwhovhkwr7t
GET https://markdownregistry.com/api/v1/resolve?ref=richkuo/rk-skills/fableplan-loop
GET https://markdownregistry.com/api/v1/blob/7939d27ba289eaa65879566b1b367f4874cc521310b59d77b38be0bed31ada92

Your agent does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

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