Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add dbinky/dbinky-skill-set/plugin install pr-reviewWrote 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/dbinky/dbinky-skill-set/auto-ralph-prep)<a href="https://agentmods.dev/skills/dbinky/dbinky-skill-set/auto-ralph-prep"><img src="https://agentmods.dev/badge/skills/dbinky/dbinky-skill-set/auto-ralph-prep.svg" alt="Measured on agentmods" 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 | $0.00037 | $0.03144 |
| Opus 5 | $0.00018 | $0.01572 |
| Sonnet 5 | $0.00007 | $0.00629 |
| Haiku 4.5 | $0.00004 | $0.00314 |
Grade A, and why
auto-ralph-prep 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 5d 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 — 248 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Auto Ralph Prep
You are generating ralph-o-matic review files without user interaction. This skill derives all configuration from the feature spec, design docs, implementation plans, and codebase scan — replacing the interactive Q&A in plan-to-ralph.
This is invoked either directly (/auto-ralph-prep) or via plan-to-ralph --auto.
Arguments
Parse the following from the user's command or calling skill:
SPEC_PATH(required): Path to the feature spec (e.g.,docs/specs/user-auth-spec.md)DESIGN_GLOB(optional): Glob for design docs (default: auto-derived from spec path by replacing-spec.mdwith-design-phase-*.mdin the superpowers specs directory)PLAN_GLOB(optional): Glob for implementation plans (default: auto-derived similarly)--slug SLUG(optional): Feature slug for commit messages (default: derived from spec filename)
Prerequisites
Verify git repository:
git rev-parse --is-inside-work-tree
Verify spec file exists. If missing, stop with an error.
Phase 1: Archive
Check if any of these files exist:
RALPH.mddocs/reference/focus-areas.mddocs/reference/gaps-identified.md
If none exist: Skip to Phase 2.
If any exist: Archive them before regenerating, using the same pattern as plan-to-ralph:
- Create
docs/reference/historical/if it doesn't exist. - Get today's date as
YYYY-MM-DD. - For each existing file, move (rename) it into
docs/reference/historical/asYYYY-MM-DD-historical-{filename}.md— do NOT copy it. The original must no longer exist at its working-tree location afterward. - If a same-day backup already exists, append a counter:
-2,-3, etc.
Why move instead of copy: Phase 5 regenerates each file fresh from the template embedded in this skill, which carries the required control semantics — notably the iteration/wrap-up protocol and the <promise> tag logic that lets the ralph server stop after repeated "no progress" iterations. Moving the originals out (rather than copying) guarantees they are absent when Phase 5 runs, so a previously mangled RALPH.md whose loop semantics were stripped can never survive into the new run. This subsumes the old legacy-format migration: any legacy or mangled RALPH.md is archived and replaced wholesale.
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.
- 5d ago First seen · 248 lines · 37 tokens per session scan A cda3307b4ee2
auto-ralph-prep is a skill published in the GitHub repository dbinky/dbinky-skill-set (5 stars, last pushed 2mo ago), licensed MIT. It adds 37 tokens to every session and 3,144 once invoked, about $0.0002 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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