aster-fix-workflow

A workflow for turning aster code-review findings into proposed or applied file edits. A dry run previews the changes, while an explicit apply step writes them to the working tree.

In plain words
What is it for?
Use it to export review findings, preview suggested patches, apply approved edits under permission rules, and inspect the resulting diff.
Why use it?
It keeps automatic fixes reviewable and prevents unexamined suggestions from changing files.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/zfinix/aster/aster-fix-workflow
Any agent
npx skills add Zfinix/aster --skill aster-fix-workflow
Clone the repo
git clone --depth 1 https://github.com/Zfinix/aster

Made for: Claude Code, Codex.

Per session 71 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 530 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. 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.

ModelPer sessionOnce invoked
Fable 5 $0.00071 $0.00530
Opus 5 $0.00036 $0.00265
Sonnet 5 $0.00014 $0.00106
Haiku 4.5 $0.00007 $0.00053

Measured 3d ago against content hash 508c31fc6c0f, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

aster-fix-workflow 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 3d 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.

skills/aster-fix-workflow/SKILL.md · 43 lines

What it actually says

Review → fix workflow

aster fix takes findings produced by aster review --json and asks the model for concrete edits. It is dry-run by default and only writes with --apply, subject to the permissions block in aster.yaml.

The pipeline

aster review --json > findings.json        # 1. review, capture findings
aster fix --findings-json findings.json    # 2. dry-run: preview proposed edits
aster fix --findings-json findings.json --apply   # 3. write to the working tree

Or as one stream:

aster review --json | aster fix --findings-json - --apply

Rules

  • ALWAYS run the dry-run first and read the preview before --apply. Never jump straight to --apply on findings you have not seen.
  • --apply writes to the working tree only; it never commits. Review the diff with git diff afterward and commit yourself.
  • Writes are gated by permissions in aster.yaml (mode, plus allow/ask/deny rules). A headless run has no way to answer a prompt, so anything that reaches ask is refused: automation needs mode: edit with explicit allow rules like Edit(src/**).
  • --json emits one JSON array of per-finding results (useful to report which fixes applied, failed, or were skipped).
  • --model overrides the fix model (else ASTER_MODEL, else aster.yaml); --repo-root <DIR> sets the root the finding paths are relative to.

Curating findings

aster fix fixes whatever is in the array, so filter first. Findings are JSON; drop low-confidence or out-of-scope entries before fixing, e.g.:

aster review --json | jq '[.[] | select(.confidence >= 0.8)]' | aster fix --findings-json - 

After applying

Run the project's tests/build to confirm the fixes hold, then commit. Treat model edits like any other patch: verified, not trusted.

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.

  1. 3d ago First seen · 43 lines · 71 tokens per session scan A 508c31fc6c0f

Subscribe to this mod's changes

aster-fix-workflow is a skill published in the GitHub repository Zfinix/aster (40 stars, last pushed 8d ago), licensed Apache-2.0. It adds 71 tokens to every session and 530 once invoked, about $0.0004 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.

Related

Other skills, from other repositories

new-plugin

Factory line for adding a new HAR verification plugin (like playwright or rocketsim) for any framework — research the framework docs, build the template under src/templates/plugins/, register it everywhere, validate on a real repository, and open a PR. Use when asked to add/create a plugin, plugin template, or…

os-factory/har · 89 tokens

factory-line

Factory line for executing one station of a declared multi-station program — read the installed line bundle (har line status), plan parallel work into isolated HAR slots, run the cumulative gate with har line gate, and hand off for human review. Use when asked to "run a factory line", "run the next station", "execute…

os-factory/har · 101 tokens

v1-milestone

Factory line for executing one milestone of the HAR v1.0.0 refactor (epic os-factory/har#225) — plan the wave of parallel subagents, implement each issue in its own HAR slot, ship stacked PRs, run the fixture-e2e milestone gate, and hand off for review. Use when asked to "run the next v1 milestone", "work on v1.0.0"…

os-factory/har · 110 tokens

lemma-user

Operate an existing Lemma pod from the CLI as a human or agent: inspect resources, query tables and records under RLS, search and read pod files (converted markdown, page images), run functions and workflows, submit waiting workflow forms, chat with pod agents, run first-party tools, and execute third-party connector…

lemma-work/lemma-platform · 82 tokens

lemma-builder

Design and build complete Lemma pods: model tables/files/functions/agents/workflows/schedules/connectors/surfaces/apps from a problem statement, author a local pod bundle, import progressively with the Lemma CLI, and verify every layer. Use for pod design, creation, restructuring, import/export, and app development.…

lemma-work/lemma-platform · 85 tokens

lemma-evals

Design, run, and review repeatable evaluations for Lemma agents, functions, and workflows. Use when defining evaluation contracts and case datasets, comparing a baseline with a candidate revision or runtime, checking deterministic correctness or rubric-scored judgment, measuring repeated-run variance, testing…

lemma-work/lemma-platform · 102 tokens