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 phj128/autoworker --skill codegit clone --depth 1 https://github.com/phj128/autoworkerWrote 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/phj128/autoworker/code)<a href="https://agentmods.dev/skills/phj128/autoworker/code"><img src="https://agentmods.dev/badge/skills/phj128/autoworker/code/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/phj128/autoworker/code"><img src="https://agentmods.dev/badge/skills/phj128/autoworker/code.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00043 | $0.00767 |
| Opus 5.5 | $0.00017 | $0.00307 |
| Sonnet 5.5 | $0.00009 | $0.00153 |
| Haiku 4.5 | $0.00004 | $0.00077 |
Grade A, and why
code 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.
How it starts
The opening of the file, as written. The whole thing — 77 lines — stays where its author put it; the contents beside it link to each section on GitHub.
autoworker:code — Implement One Phase
Called by autoworker:dispatch. Does one thing: implement the first incomplete Phase from the subtask plan.
Execution Flow
1. Read Subtask
Glob `subtask_*.md` (exclude subtask_template.md) →
0 found → stop, prompt to create subtask
1 found → use directly (backward compatible)
multiple → grep `status:` to filter:
- Files without status field treated as active (backward compatible)
- Exactly 1 active → use it
- 0 active → list all files + status, prompt user to choose
- >1 active → report anomaly
→ Read → extract:
- Plan section Phase list (with checkboxes)
- Find the first incomplete Phase (`- [ ]` prefixed Steps)
If subtask doesn't exist or plan is empty → stop, prompt to complete autoworker:subtask-plan first. If all Phases are complete → stop, prompt that autoworker:dispatch should route to autoworker:test.
2. Implement Code
Read all Steps in the Phase, implement one by one:
- Read Step description and target file
- Read target file (if modifying)
- Edit/Write to implement the code change
- After completing the Step, continue to next Step
Executing commands: Steps may involve not just writing code but also executing commands (starting training, running scripts, etc.). Long-running commands use run_in_background=true — execute autonomously, do not ask the user to run manually. After starting background tasks like training, continue to the next step without waiting for completion.
Forbidden:
- Writing code from memory without reading subtask
- Skipping Steps (unless subtask explicitly marks as skippable)
- Checking off boxes yourself (autoworker:checkpoint's responsibility)
- Running tests yourself (autoworker:test's responsibility)
- Making changes beyond the current Phase's scope
- Asking user to manually execute commands that can be done autonomously
3. Output Summary
Phase X code implementation complete:
- Step X.1: <brief change description>
- Step X.2: <brief change description>
→ Invoking autoworker:checkpoint
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 First seen · 77 lines · 43 tokens per session scan A c6dba0c82732
code is a skill published in the GitHub repository phj128/autoworker (18 stars, last pushed 6mo ago), licensed MIT. It adds 43 tokens to every session and 767 once invoked, about $0.0002 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.
Other skills, from other repositories
flow-next-flow
Use first in a Flow-Next repo for a spec id, change, bug, issue, slow code or metric, cleanup, design fork, dump to explain, repeated mistake, prompt change, what could break, what next. No quick asks.
flow-next-impl-review
Carmack-level implementation review of changes via the configured backend. Use when asked to review code or a diff in a flow-next repo.
flow-next-spec-completion-review
Verify that a spec's completed tasks fully implement the spec requirements. Use at spec completion before close.
flow-next-plan
Plan a feature into a flow-next spec with tasks in .flow/. Use when asked to plan, spec out, or break down work (fn-N ids).
flow-next-resolve-pr
Resolve PR review feedback. Fetches unresolved threads, triages, fixes, replies and resolves via GraphQL. Use when asked to address review comments.
flow-next-land
Resolve feedback and CI for one named pull request, then merge when authorized and ready. Emits LANDVERDICT. Use when asked to land a pull request.