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 vnnkl/agentflywheel --skill bead-polishing-ralphgit clone --depth 1 https://github.com/vnnkl/agentflywheelWrote 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/vnnkl/agentflywheel/bead-polishing-ralph)<a href="https://agentmods.dev/skills/vnnkl/agentflywheel/bead-polishing-ralph"><img src="https://agentmods.dev/badge/skills/vnnkl/agentflywheel/bead-polishing-ralph/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/vnnkl/agentflywheel/bead-polishing-ralph"><img src="https://agentmods.dev/badge/skills/vnnkl/agentflywheel/bead-polishing-ralph.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 | $0.00140 | $0.04322 |
| Opus 5 | $0.00070 | $0.02161 |
| Sonnet 5 | $0.00028 | $0.00864 |
| Haiku 4.5 | $0.00014 | $0.00432 |
Grade A, and why
bead-polishing-ralph 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 9d 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 — 353 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Bead Polishing for Ralph-TUI
Iteratively refine beads through 4-6 polishing rounds until convergence, enforcing all constraints that ralph-tui needs for successful autonomous execution.
This skill combines the convergence-tracked polishing loop from the Agentic Coding Flywheel with the specific format and sizing constraints required by ralph-tui's beads tracker.
Why This Matters
ralph-tui spawns a fresh agent instance per bead with no memory of previous work. A bead that is too big, vague, or has broken dependencies will cause the agent to either run out of context, produce the wrong thing, or block the entire pipeline. Polishing beads before execution is the single highest-ROI activity because:
- Plan mistakes cost 1x to fix (edit the markdown)
- Bead mistakes cost 5x to fix (rewrite + re-link + re-order)
- Code mistakes cost 25x to fix (debug + refactor + retest across files)
A 30-second fix to a bead description prevents a 30-minute failed ralph-tui iteration.
Before Starting
Detect CLI
Use bd (beads) as the CLI for all bead operations. The polishing process uses bd commands throughout.
Gather Context
- Read the source plan/PRD that the beads were created from. Polishing without the source is guessing.
- Extract Quality Gates from the PRD's "Quality Gates" section. If none exists, ask the user what commands should pass (e.g.,
pnpm typecheck,pnpm lint). - Check if beads exist:
bd list --json
Create Beads if None Exist
If no beads exist yet, create them from the source PRD before polishing. This makes the separate "convert to tasks" step optional — bead-polishing-ralph can handle the full plan-to-polished-beads pipeline.
-
Create an epic linking back to the PRD:
bd create --type=epic \ --title="[Feature Name]" \ --description="$(cat <<'EOF' [Feature description from PRD] EOF )" \ --external-ref="prd:./path-to-prd.md" -
Create one bead per user story/requirement from the PRD. For each story:
- Title matches the story title
- Description includes story context, acceptance criteria, quality gates, and the
<promise>COMPLETE</promise>instruction - Priority reflects dependency order (schema=1, backend=2, UI=3, polish=4)
- Pass
--parent=<epic-id>at creation time so the parent link exists from the start
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.
- 9d ago First seen · 353 lines · 140 tokens per session scan A a7a21b0cc53a
bead-polishing-ralph is a skill published in the GitHub repository vnnkl/agentflywheel (2 stars, last pushed 3mo ago), licensed MIT. It adds 140 tokens to every session and 4,322 once invoked, about $0.0007 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 2026-08-31.
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