dist-channel-selection

dist-channel-selection is a skill for Claude Code, Codex from d-o-hub/github-template-ai-agents. It costs 63 tokens per session (653 once invoked), scanned A, original, MIT.

A guide for choosing where to publish different kinds of software packages, such as npm for Node.js tools or crates.io for Rust libraries.

In plain words
What is it for?
Preparing or releasing a package by selecting its distribution channel, checking version and changelog requirements, and running the appropriate verification commands.
Why use it?
It prevents a release from going to the wrong package registry and adds checks such as tests, dry runs, and required release files.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents); mentions AGENTS.md.

Good fit Preparing or releasing a package by selecting its distribution channel, checking version and changelog requirements, and running the appropriate verification commands.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/d-o-hub/github-template-ai-agents/dist-channel-selection
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 d-o-hub/github-template-ai-agents --skill dist-channel-selection
Clone the repo
git clone --depth 1 https://github.com/d-o-hub/github-template-ai-agents

Made for: Claude Code, 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 dist-channel-selection

README.md
[![agentmods](https://agentmods.dev/badge/skills/d-o-hub/github-template-ai-agents/dist-channel-selection/github.svg)](https://agentmods.dev/skills/d-o-hub/github-template-ai-agents/dist-channel-selection)
Your own site
<a href="https://agentmods.dev/skills/d-o-hub/github-template-ai-agents/dist-channel-selection"><img src="https://agentmods.dev/badge/skills/d-o-hub/github-template-ai-agents/dist-channel-selection/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 dist-channel-selection

Your own site · 80×15
<a href="https://agentmods.dev/skills/d-o-hub/github-template-ai-agents/dist-channel-selection"><img src="https://agentmods.dev/badge/skills/d-o-hub/github-template-ai-agents/dist-channel-selection.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 63 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 653 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 $0.00063 $0.00653
Opus 5 $0.00032 $0.00327
Sonnet 5 $0.00013 $0.00131
Haiku 4.5 $0.00006 $0.00065

Measured 8d ago against content hash 6ecadccc396a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

dist-channel-selection 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 8d 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.

.agents/skills/dist-channel-selection/SKILL.md · 82 lines

How it starts

The opening of the file, as written. The whole thing — 82 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Distribution Channel Selection

Ensure artifacts are published to the correct channels with appropriate verification.

When to Use

  • User asks to publish or release a new version of a package
  • Need to select the correct distribution channel (npm, Cargo, etc.)
  • Even if they just say "publish this" or "release it"

Decision Matrix

Artifact Type Channel Primary Verification Dry Run Command
Rust library crates.io cargo test cargo publish --dry-run
WASM library npm scripts/wasm_size_gate.sh npm pack --dry-run
CLI (Node) npm npm test npm pack --dry-run
CLI (Rust) GitHub/npm scripts/quality_gate.sh cargo build --release

Preconditions

  • Version bumped in VERSION file.
  • CHANGELOG.md updated with new version details.
  • ./scripts/quality_gate.sh passes locally.
  • All CI checks are green.

Publishing Process

1. Verification

Run the domain-specific verification tools (e.g., WASM size gates, LOC enforcement).

2. Dry Run

Always perform a dry run before the final publish to catch packaging issues.

3. Final Publish

Use the official toolchain for the selected channel.

Common Pitfalls

  • Publishing WASM binaries without size verification.
  • Forgetting to sync the VERSION file across sub-packages.
  • Incomplete CHANGELOG leading to consumer confusion.

See Also

  • cicd-pipeline — CI/CD pipeline for publishing
  • git-github-workflow — Git workflow for releases

Rationalizations

Rationalization Reality
"I'll skip the dry run — the publish always works." Dry runs catch packaging errors, missing files, and metadata issues that silently corrupt published artifacts.
"The VERSION file doesn't need to match package.json." Version mismatches confuse consumers, break CI/CD pipelines, and invalidate changelog entries.

Read the full file on GitHub · 82 lines

Files

What ships with it

1 file 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. 8d ago First seen · 82 lines · 63 tokens per session scan A 6ecadccc396a

Subscribe to this mod's changes

dist-channel-selection is a skill published in the GitHub repository d-o-hub/github-template-ai-agents (2 stars, last pushed today), licensed MIT. It adds 63 tokens to every session and 653 once invoked, about $0.0003 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 2026-08-31.

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