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 jmagly/aiwg --skill ralph-abortgit clone --depth 1 https://github.com/jmagly/aiwgWrote 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/jmagly/aiwg/ralph-abort)<a href="https://agentmods.dev/skills/jmagly/aiwg/ralph-abort"><img src="https://agentmods.dev/badge/skills/jmagly/aiwg/ralph-abort/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/jmagly/aiwg/ralph-abort"><img src="https://agentmods.dev/badge/skills/jmagly/aiwg/ralph-abort.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Tool Misuse · line 60 Tool parameters are crafted to achieve unintended or unsafe behavior. Parameter abuse can bypass intended safety checks (e.g. shell=True, --force, dangerous glob patterns).Fix: Validate all tool parameters against an allowlist. Reject dangerous parameter values (shell=True, --force, -rf /) and use safe defaults.
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 | $0.00014 | $0.00836 |
| Opus 5 | $0.00007 | $0.00418 |
| Sonnet 5 | $0.00003 | $0.00167 |
| Haiku 4.5 | $0.00001 | $0.00084 |
Grade A, and why
ralph-abort 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 — 142 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Al Abort
Abort a running or paused agent loop.
Usage
/ralph-abort # Abort, keep changes
/ralph-abort --revert # Abort and revert all changes
/ralph-abort --force # Abort even if no active loop
Parameters
--keep-changes (default)
Stop the loop but keep all file changes made during iterations.
--revert
Revert all changes made during the agent loop using git:
- Identify commits made during loop (prefix:
ralph: iteration) - Reset to commit before loop started
- Warning: This discards work
--force
Abort even if state indicates no active loop (for cleanup).
Your Actions
Standard Abort
- Read
.aiwg/ralph/current-loop.json - Verify there's an active loop
- Mark loop as aborted
- Generate partial completion report
- Confirm to user
Output:
Agent Loop: ABORTED
Task: {task}
Iterations completed: {N}
Duration: {time}
Changes have been kept. To revert:
git reset --hard HEAD~{N}
Partial report: .aiwg/ralph/completion-{timestamp}.md
With --revert
- Read loop state
- Find all
ralph: iterationcommits from this loop - Confirm with user before reverting
- Reset git to pre-loop state
- Clean up state files
Confirmation prompt:
This will revert {N} commits:
- ralph: iteration 1 - initial attempt
- ralph: iteration 2 - fixed auth
- ralph: iteration 3 - in progress
Files to be reverted:
- src/auth.ts
- test/auth.test.ts
Type 'yes' to confirm revert:
After revert:
Agent Loop: ABORTED + REVERTED
Reverted {N} commits.
Working directory restored to pre-loop state.
State cleaned: .aiwg/ralph/current-loop.json archived
Error Handling
No active loop:
No active agent loop to abort.
Use --force to clean up stale state files if needed.
Git not available:
Git not available for --revert option.
Loop aborted, but changes cannot be reverted automatically.
Manual cleanup may be needed.
Dirty working directory (for --revert):
Cannot revert: uncommitted changes exist.
Options:
1. Commit or stash changes first
2. Use /ralph-abort without --revert to keep current state
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 · 142 lines · 14 tokens per session scan A bf163e8c2479
ralph-abort is a skill published in the GitHub repository jmagly/aiwg (210 stars, last pushed yesterday), licensed MIT. It adds 14 tokens to every session and 836 once invoked, about $0.0001 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.
Other skills, from other repositories
autoship
Runs a changesets npm release through the version PR, CI publish, and registry verification. Use when asked to "release this package", "autoship", "merge Version Packages", or diagnose a release that did not publish. For feature PRs use pr-creator or pr-babysitter.
fest-execution
Execute active festival tasks. Use when finding the next task, marking tasks completed/blocked/reset, committing with festival traceability, advancing workflow steps, and validating sequence progress.
sync-references
Pull latest changes from origin for all git repos under a directory. Use when asked to update, sync, or pull reference projects.
git-ai-archaeology
Analyze AI config evolution in a git repo. Use when mapping AI adoption history, finding when configs were first introduced, charting commit velocity by month, or identifying maturity phases in a project's AI tooling.
ci-pipeline
Push current branch and return the pipeline tracking URL (GitLab or GitHub Actions).
publish
Bump version, build, test, publish to npm, and install locally.