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 agentmods add skills/dbinky/dbinky-skill-set/auto-ralph-submitnpx skills add dbinky/dbinky-skill-set --skill auto-ralph-submitgit clone --depth 1 https://github.com/dbinky/dbinky-skill-setWrote 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-submit)<a href="https://agentmods.dev/skills/dbinky/dbinky-skill-set/auto-ralph-submit"><img src="https://agentmods.dev/badge/skills/dbinky/dbinky-skill-set/auto-ralph-submit.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 | $0.00035 | $0.00780 |
| Opus 5 | $0.00017 | $0.00390 |
| Sonnet 5 | $0.00007 | $0.00156 |
| Haiku 4.5 | $0.00003 | $0.00078 |
Grade A, and why
auto-ralph-submit 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 — 98 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Auto Ralph Submit
You are submitting work to ralph-o-matic for iterative refinement with zero user interaction. This skill expects a RALPH.md file to already exist in the repository root (generated by auto-ralph-prep or plan-to-ralph).
Arguments
Parse the following from the user's command or calling skill:
--priority LEVEL: Job priority — high, normal, low (default: high)--max-iterations N: Max ralph passes (default: 1000)--local: Use local repo directory (default: true)--slug SLUG: Feature slug for notification messages (optional)
Workflow
Execute these steps in order. Do not ask for user input at any point.
Step 1: Validate RALPH.md Exists
Check for RALPH.md in the repository root. If missing, send a Teams notification and stop:
ralph-o-matic notify --message "Pipeline failed: RALPH.md not found in $(git remote get-url origin) on branch $(git branch --show-current). Run /auto-ralph-prep first."
Step 2: Pre-flight Checks
Run these checks before submission:
-
Working tree clean — if uncommitted changes exist, stage and commit them:
git add -A git commit -m "chore: pre-ralph cleanup" -
Branch pushed to origin — push if the branch isn't tracked remotely or has unpushed commits:
BRANCH=$(git branch --show-current) git push -u origin "$BRANCH" -
Server reachable — check with
ralph-o-matic status. If unreachable, notify Teams and stop. -
Branch not already in queue — check via the API. If already queued, notify Teams and stop.
Step 3: Detect Local Mode
Read the configured server URL from ralph-o-matic config. If the server is localhost/127.0.0.1 and --local was not explicitly set to false, use local mode:
LOCAL_DIR=$(git rev-parse --show-toplevel)
If the server is NOT local, skip local mode — remote servers can't access local paths.
Step 4: Submit
ralph-o-matic submit \
--priority {PRIORITY} \
--max-iterations {MAX_ITERATIONS} \
${LOCAL_DIR:+--working-dir "$LOCAL_DIR"}
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 · 98 lines · 35 tokens per session scan A a677ce3bb261
auto-ralph-submit is a skill published in the GitHub repository dbinky/dbinky-skill-set (5 stars, last pushed 2mo ago), licensed MIT. It adds 35 tokens to every session and 780 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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