accelerate-local-work

accelerate-local-work is a skill for Codex from cloudguo123/atomlane. It costs 82 tokens per session (4,552 once invoked), scanned A, original, MPL-2.0.

A workflow for using AtomLane to plan and run local macOS work in parallel when the tasks are proven safe to separate. AtomLane is the local execution system described in the input.

In plain words
What is it for?
Handling composite commands, build or test pipelines, repeated independent jobs, dependency graphs, and some Apple-silicon computing tasks. It first creates a fixed execution plan and then runs that plan.
Why use it?
It can reduce waiting on independent builds, tests, scripts, or repeated operations while preserving task order, shared resources, and permissions.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: mentions Codex; $skill-name invocation.

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is python3 scripts/live_runner.py --mode atomic --input <absolute-json-path>.

Good fit Handling composite commands, build or test pipelines, repeated independent jobs, dependency graphs, and some Apple-silicon computing tasks. It first creates a fixed execution plan and then runs that plan.

Compare 6 skills from other repositories ↓
Install

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.

Clone the repo
git clone --depth 1 https://github.com/cloudguo123/atomlane
agentmods
npx agentmods add skills/cloudguo123/atomlane/accelerate-local-work

Made for: Codex.

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.

agentmods badge for accelerate-local-work

README.md
[![agentmods](https://agentmods.dev/badge/skills/cloudguo123/atomlane/accelerate-local-work/github.svg)](https://agentmods.dev/skills/cloudguo123/atomlane/accelerate-local-work)
Your own site
<a href="https://agentmods.dev/skills/cloudguo123/atomlane/accelerate-local-work"><img src="https://agentmods.dev/badge/skills/cloudguo123/atomlane/accelerate-local-work/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.

agentmods 80×15 button for accelerate-local-work

Your own site · 80×15
<a href="https://agentmods.dev/skills/cloudguo123/atomlane/accelerate-local-work"><img src="https://agentmods.dev/badge/skills/cloudguo123/atomlane/accelerate-local-work.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 82 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,552 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00082 $0.04552
Opus 5.5 $0.00033 $0.01821
Sonnet 5.5 $0.00016 $0.00910
Haiku 4.5 $0.00008 $0.00455

Measured 1mo ago against content hash dcd6e2d2b592, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

accelerate-local-work 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.

skills/accelerate-local-work/SKILL.md · 369 lines

How it starts

The opening of the file, as written. The whole thing — 369 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AtomLane: Accelerate Local Work

AtomLane parallelizes only what is proven safe. Preserve task semantics first: parallelism is legal only when the compiled control flow, effects, resources, and authorization boundaries prove it safe.

Perform a cheap preflight

Use this skill when at least one condition holds:

  • A composite command, package script, Make target, Compose application, test suite, or build pipeline may contain independent work.
  • One meaningful operation repeats across independent inputs.
  • A dependency graph has two or more potentially ready nodes.
  • A numerical, image, signal, ML, video, compression, or custom-GPU operation may use an Apple-silicon backend.

Skip it for conversation, web research, one quick command, tiny work dominated by startup, or a known fully serial mutation. Evaluation should be cheap; the possibility of parallelism alone does not authorize execution.

If the requested optimization requires changing a long-running Python program rather than scheduling its existing commands, route to $optimize-python-parallelism and python_parallel_advisor. Do not treat a source rewrite preview as an executable atomic plan.

Identify the execution realm before compiling. Native Windows, one WSL distro, and one Docker daemon are distinct resource and path spaces; never mix them in one plan without an explicit bridge. On native Windows Preview, use exact argv atoms or the whole-file powershell_file adapter. POSIX shell, package-script, Make-recipe, and Compose lowering are not Windows semantics and must fail closed. Do not lower inline PowerShell or cmd/.bat syntax.

Compile once, execute the exact plan

For local execution covered by this skill, use this invariant:

atomic_task_plan -> immutable compiled_plan + plan_hash -> atomic_exec
  1. Call atomic_task_plan before the first execution batch. Supply the active project, task intent, and concrete entrypoints or candidate operations known at that point. Use scenario_plan first only when an unfamiliar multi-stage project, preset optimization profile, or explicitly requested trace evidence would materially improve planning. For one concrete pytest suite, prefer test_suite_plan; it is a thin frontend that returns the same standard immutable plan and does not create a separate execution path.
  2. Inspect the returned blockers, diagnostics, effect certainty, native delegates, resource plan, estimated benefit, and plan_hash. Do not execute a plan that reports an unresolved safety blocker.
  3. Treat the complete return value as compiled_plan. Pass that exact object and its hash to atomic_exec:

Read the full file on GitHub · 369 lines

Files

What ships with it

2 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.

  1. 1mo ago Changed · +19 lines dcd6e2d2b592
  2. 1mo ago Changed · +142 lines · -7 tokens per session 93542670c09b
  3. 1mo ago First seen · 208 lines · 89 tokens per session scan A d9d44080d72e

Subscribe to this mod's changes

accelerate-local-work is a skill published in the GitHub repository cloudguo123/atomlane (1 stars, last pushed 3d ago), licensed MPL-2.0. It adds 82 tokens to every session and 4,552 once invoked, about $0.0003 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 2026-08-31.

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