An autonomous coding-agent workflow that repeatedly evaluates its own progress, checks safety limits, and continues until the run finishes or must pause.

Use it for multi-step coding tasks that should run through repeated rounds with audits, quota checks, pause-and-resume handling, and recovery from interrupted work.

It removes the need to manually monitor long-running agent work. Built-in checks help prevent runaway loops, exceeded budgets, and conflicts between sessions.

automl — Skill for Claude Code by fredchu: An autonomous coding-agent workflow that repeatedly evaluates its own…

Install

Getting it into your agent

There is no command for this one: it runs only inside a plugin, and the catalogue could not identify which plugin ships it. The source is linked below.

Made for: Claude Code.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/fredchu/claude-dotfiles/automl.svg)](https://agentmods.dev/skills/fredchu/claude-dotfiles/automl)

Your own site

<a href="https://agentmods.dev/skills/fredchu/claude-dotfiles/automl"><img src="https://agentmods.dev/badge/skills/fredchu/claude-dotfiles/automl.svg" alt="Measured on agentmods" height="20"></a>

Per session 69 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,508 The whole file, excluding the scripts and references it only reads on demand.

Security scan B 1 finding. Scan, not verified.

Origin original No closer match found in the catalogue.

Token cost

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	$0.00069	$0.01508
Opus 5	$0.00034	$0.00754
Sonnet 5	$0.00014	$0.00302
Haiku 4.5	$0.00007	$0.00151

Measured 6d ago against content hash 7ddf6353ad47, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade B, and why

automl scanned grade B with 1 finding 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 6d ago.

The scan reads SKILL.md. This mod also ships 44 executable files (scripts/__init__.py, scripts/alignment_dialogue.py, scripts/audit_gatekeeper.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Recursive force deletemediumDestructive command

rm -rf with a variable or a broad path is one typo away from removing the wrong tree.

| `command == "clear"` | Call `scripts/lifecycle_commands.py::clear(state)`; on success, `rm -rf` the run directory. |

Downgraded: this mod is about security review, or the phrase is quoted, so it is likely naming the pattern rather than instructing it.

skills/automl/SKILL.md · 100 lines

How it starts

The opening of the file, as written. The whole thing — 100 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/automl v6.0

Calibrator subagent → alignment dialogue → round loop → audit → terminal lifecycle, with 6 always-on gates (iteration / wall-time / repeat-loop / budget / context / quota) via FIXED ORDER tick_gate orchestrator + RED_TEAM opt-in dispatch + multi-session safety (active_session lock, cross-session quota coordination, worktree advisory, orphan recovery) + calibrator self-improvement telemetry (run_summary.md per terminal run, weekly aggregator alerts on Discord).

Spec: docs/superpowers/specs/2026-05-06-automl-v6-design.md Algorithm: ALGORITHM.md Changelog: CHANGELOG.md

Shared quota gate

/automl has an always-on quota gate. Use the shared helper first so this skill and Codex/Codex CLI share the same semantics:

/Users/fredchu/bin/agent-orch quota check --provider claude --threshold 85 --on-error fail-open --json

exit 0 / decision=="allow"：continue the normal tick_gate loop.
exit 2 / decision=="wait"：transition lifecycle to quota-wait/paused as the run state already supports, call ScheduleWakeup for JSON resume_at, and resume from .automl/<run_id>/state.json after waking. Re-run quota check before continuing.
decision=="probe_failed"：retry after retry_at/retry_after_seconds; do not treat probe failure as a 5h reset.
If agent-orch is unavailable, fall back to the legacy scripts/quota_check.py path for compatibility.

Commands

/automl <freeform goal description>     start a new run (calibrator + alignment + round loop)
/automl --spec <path/to/goal.md>        start from existing goal.md (skip alignment)
/automl pause [run_id]                  pause an active run (release session lock)
/automl resume [run_id]                 resume a paused run (claim session lock)
/automl status [run_id]                 multi-section run status (spec §8.3 format)
/automl clear <run_id>                  delete a terminal run's directory
/automl list                            scan cwd .automl/ + per-run summary
/automl history                         calibrator vs actual telemetry across runs

Read the full file on GitHub · 100 lines

Files

What ships with it

60 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

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.

6d ago First seen · 100 lines · 69 tokens per session scan B 7ddf6353ad47

Subscribe to this mod's changes

automl is a skill published in the GitHub repository fredchu/claude-dotfiles (2 stars, last pushed 23d ago), licensed MIT. It adds 69 tokens to every session and 1,508 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it B with 1 finding (recursive force delete). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Building agents ai-assistant claude claude-code dotfiles prompt-engineering skills

automl

Getting it into your agent

Wrote this? Show the measurements

What it costs to keep this loaded

Grade B, and why

Recursive force deletemediumDestructive command

How it starts

/automl v6.0

Shared quota gate

Commands

What ships with it

What this file has done since we first saw it

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