ai-coding-agents-release-distribution

ai-coding-agents-release-distribution is a skill for Codex from vasilyu1983/AI-Agents-public. It costs 40 tokens per session (4,048 once invoked), scanned B, original, MIT.

A design guide for how coding-agent command-line tools are packaged, installed, updated, and kept compatible with add-ons. It covers release channels, cached data, migrations, rollback, and local disk usage.

In plain words
What is it for?
Use it when designing package formats, update policies, development or stable release channels, plugin compatibility checks, cache migrations, rollback procedures, and post-update verification.
Why use it?
It helps prevent updates from breaking plugins, losing local state, or leaving incompatible files and versions behind.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: reads .claude/ paths; mentions Claude Code; mentions Codex.

Good fit Use it when designing package formats, update policies, development or stable release channels, plugin compatibility checks, cache migrations, rollback procedures, and post-update verification.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/vasilyu1983/ai-agents-public/ai-coding-agents-release-distribution
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.

Any agent
npx skills add vasilyu1983/AI-Agents-public --skill ai-coding-agents-release-distribution
Clone the repo
git clone --depth 1 https://github.com/vasilyu1983/AI-Agents-public

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 ai-coding-agents-release-distribution

README.md
[![agentmods](https://agentmods.dev/badge/skills/vasilyu1983/ai-agents-public/ai-coding-agents-release-distribution/github.svg)](https://agentmods.dev/skills/vasilyu1983/ai-agents-public/ai-coding-agents-release-distribution)
Your own site
<a href="https://agentmods.dev/skills/vasilyu1983/ai-agents-public/ai-coding-agents-release-distribution"><img src="https://agentmods.dev/badge/skills/vasilyu1983/ai-agents-public/ai-coding-agents-release-distribution/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 ai-coding-agents-release-distribution

Your own site · 80×15
<a href="https://agentmods.dev/skills/vasilyu1983/ai-agents-public/ai-coding-agents-release-distribution"><img src="https://agentmods.dev/badge/skills/vasilyu1983/ai-agents-public/ai-coding-agents-release-distribution.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 40 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,048 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 1 finding. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to high

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 →

  • high Agent Snooping · line 193
    Skill reads from agent configuration directories (.claude/, .codex/, .gemini/). These directories may contain API keys, personal settings, and other credentials that the skill has no legitimate need to access.
    Fix: Remove all code or instructions that access agent configuration directories (.claude/, .codex/, .gemini/). If configuration values are needed, pass them explicitly as parameters or environment variabl
How audits are shown
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 $0.00040 $0.04048
Opus 5 $0.00020 $0.02024
Sonnet 5 $0.00008 $0.00810
Haiku 4.5 $0.00004 $0.00405

Measured 12d ago against content hash 9e85f265a859, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade B, and why

ai-coding-agents-release-distribution 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 12d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (assets/templates/install-script-skeleton.sh), 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.

Reads agent configuration directoriesmediumAgent snooping

.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.

- **`autoUpdatesChannel`** (user settings, `~/.claude/settings.json`) takes exactly two values: `"latest"` (default — most recent release) or `"stable"` (roughly a week behind, skips releases with known major regressions
frameworks/shared-skills/skills/ai-coding-agents-release-distribution/SKILL.md · 245 lines

How it starts

The opening of the file, as written. The whole thing — 245 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AI Coding Agents Release And Distribution

Use this skill to design or review how a coding-agent CLI ships and evolves: packaging, install channels, auto-update policy, plugin compatibility, cache versioning, migration strategy, and local footprint management.

This skill covers the productization layer that matters once the runtime itself already exists.

ASCII Flow

runtime build
  |
  v
package artifact
  binary/app bundle/npm/pip/homebrew + bundled assets + plugin ABI
  |
  v
release channel
  dev | canary | stable | enterprise-managed
  |
  v
install or update
  compatibility checks + cache migrations + rollback hooks
  |
  v
post-update verification
  version, plugin compatibility, migrated state, telemetry, rollback signal

Quick Reference

Question Read Outcome
How should packaging, updates, and compatibility work? references/packaging-updates-and-compatible-plugins.md Install channels, version policy, plugin compatibility, and release discipline
How should caches, migrations, and local state evolve safely? references/cache-migrations-and-install-channels.md Cache keys, migration boundaries, rollback posture, and footprint control
How does OpenAI Codex handle install channels, update targets, app-server packages, and doctor? references/openai-codex-install-update-and-doctor.md Install provenance, update target checks, package variants, redacted support diagnostics

When To Use

  • Design packaging and distribution for a coding-agent CLI
  • Add auto-update channels or controlled rollout strategy
  • Review plugin compatibility and extension version policy
  • Model local caches, migration safety, or install footprint changes
  • Decide how release engineering should handle breaking runtime changes

Use Other Skills

Read the full file on GitHub · 245 lines

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. 12d ago First seen · 245 lines · 40 tokens per session scan B 9e85f265a859

Subscribe to this mod's changes

ai-coding-agents-release-distribution is a skill published in the GitHub repository vasilyu1983/AI-Agents-public (87 stars, last pushed 10d ago), licensed MIT. It adds 40 tokens to every session and 4,048 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it B with 1 finding (reads agent configuration directories). 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

nft-standards

Implement NFT standards (ERC-721, ERC-1155) with proper metadata handling, minting strategies, and marketplace integration. Use when creating NFT contracts, building NFT marketplaces, or implementing digital asset systems.

wshobson/agents · 48 tokens

istio-traffic-management

Configure Istio traffic management including routing, load balancing, circuit breakers, and canary deployments. Use when implementing service mesh traffic policies, progressive delivery, or resilience patterns.

wshobson/agents · 40 tokens

projection-patterns

Build read models and projections from event streams. Use when implementing CQRS read sides, building materialized views, or optimizing query performance in event-sourced systems.

wshobson/agents · 36 tokens

microservices-patterns

Design microservices architectures with service boundaries, event-driven communication, and resilience patterns. Use when building distributed systems, decomposing monoliths, or implementing microservices.

wshobson/agents · 38 tokens

track-management

Use this skill when creating, managing, or working with Conductor tracks - the logical work units for features, bugs, and refactors. Applies to spec.md, plan.md, and track lifecycle operations.

wshobson/agents · 44 tokens

make-pr-easy-to-review

Prepare PRs for review by cleaning noisy history, improving PR descriptions, and adding reviewer guidance without changing code behavior. Use for "make this easy to review", "tidy this PR", "clean up commits", or "annotate the diff".

michael-denyer/pstack-claude · 57 tokens