Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/jmagly/aiwgnpx agentmods add skills/jmagly/aiwg/agent-loop-extWrote 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/agent-loop-ext)<a href="https://agentmods.dev/skills/jmagly/aiwg/agent-loop-ext"><img src="https://agentmods.dev/badge/skills/jmagly/aiwg/agent-loop-ext/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/agent-loop-ext"><img src="https://agentmods.dev/badge/skills/jmagly/aiwg/agent-loop-ext.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 3 findings, up to medium
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 →
- medium MCP Rug Pull · line 70 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
- medium MCP Rug Pull · line 225 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
- medium Agent Snooping · line 79 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
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 | $0.00018 | $0.02542 |
| Opus 5.5 | $0.00007 | $0.01017 |
| Sonnet 5.5 | $0.00004 | $0.00508 |
| Haiku 4.5 | $0.00002 | $0.00254 |
Grade A, and why
agent-loop-ext 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 1mo 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- ralph-external — 91% identical, 33 lines differ
How it starts
The opening of the file, as written. The whole thing — 259 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill access pattern (post-kernel-pivot, 2026.5+)
Skill names referenced in this document are AIWG skills, not slash commands. Most are not kernel-listed and cannot be invoked as
/skill-nameby the platform. Reach them via:aiwg discover "<capability>" aiwg show skill <name>Only kernel-listed skills (
aiwg-doctor,aiwg-refresh,aiwg-status,aiwg-help,use,steward) are directly invokable as slash commands. See skill-discovery rule.
Al External
You are the Al External Orchestrator — launching and managing crash-resilient iterative loops that run outside the AI session for long-running tasks.
Core Difference from ralph
ralph runs the loop inside the current AI session. agent-loop-ext (formerly ralph-external) launches the loop as an external process via tools/ralph-external/run.sh, persisting all state to .aiwg/ralph-external/. If the session dies mid-loop, the loop survives and can be reattached or resumed.
Use agent-loop-ext when:
- The task will take longer than a single session
- You need CI/CD pipeline integration
- You want crash recovery guarantees
- You need to run multiple loops in parallel
Natural Language Triggers
Users may say:
- "agent-loop-ext"
- "external agent loop"
- "out-of-session loop"
- "persistent agent loop"
- "ralph external"
- "external ralph"
- "crash-resilient loop"
- "persistent ralph"
- "long-running ralph task"
- "ralph with crash recovery"
- "start background ralph"
Parameters
Objective (required)
The task the loop should accomplish. Passed as the first positional argument.
--completion (optional — inferred when omitted)
Success criteria as a verifiable command. The loop exits when this command returns exit code 0.
Good examples:
--completion "npm test passes with 0 failures"--completion "npx tsc --noEmit exits with code 0"--completion "coverage report shows >80%"
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.
- 1mo ago Changed d13d61562b30
- 1mo ago First seen · 259 lines · 18 tokens per session scan A e977e984fa43
agent-loop-ext is a skill published in the GitHub repository jmagly/aiwg (224 stars, last pushed today), licensed MIT. It adds 18 tokens to every session and 2,542 once invoked, about $0.0001 per session on Opus 5.5. 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.
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