release-readiness

release-readiness is a skill for Claude Code, Codex from xberg-io/xberg. It costs 49 tokens per session (640 once invoked), scanned A, original, MIT.

A release audit for Xberg that checks CI, a release dry run, benchmarks, generated files, the changelog, and the remote Git branch.

In plain words
What is it for?
Preparing a release, investigating failed workflow jobs, checking generated-file freshness, validating release artifacts, and confirming remote branch state.
Why use it?
It verifies that the same pushed commit passes the checks needed for a reliable release and identifies unresolved failures.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Preparing a release, investigating failed workflow jobs, checking generated-file freshness, validating release artifacts, and confirming remote branch state.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/xberg-io/xberg/release-readiness
About the project

Xberg is a document-intelligence engine that reads files, URLs, archives, and source trees and extracts text, metadata, images, tables, and structured data, with additional code-language understanding. Developers use it through language bindings, a command-line tool, REST API, or MCP server, and the catalogue entries support those integrations.

xberg-io/xberg · 9,281 stars · on GitHub · docs.xberg.io

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 xberg-io/xberg --skill release-readiness
Clone the repo
git clone --depth 1 https://github.com/xberg-io/xberg

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 release-readiness

README.md
[![agentmods](https://agentmods.dev/badge/skills/xberg-io/xberg/release-readiness/github.svg)](https://agentmods.dev/skills/xberg-io/xberg/release-readiness)
Your own site
<a href="https://agentmods.dev/skills/xberg-io/xberg/release-readiness"><img src="https://agentmods.dev/badge/skills/xberg-io/xberg/release-readiness/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 release-readiness

Your own site · 80×15
<a href="https://agentmods.dev/skills/xberg-io/xberg/release-readiness"><img src="https://agentmods.dev/badge/skills/xberg-io/xberg/release-readiness.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 49 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 640 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
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 $0.00049 $0.00640
Opus 5 $0.00024 $0.00320
Sonnet 5 $0.00010 $0.00128
Haiku 4.5 $0.00005 $0.00064

Measured 9d ago against content hash 875934f47c26, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

release-readiness 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 9d 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.

.ai-rulez/skills/release-readiness/SKILL.md · 53 lines

How it starts

The opening of the file, as written. The whole thing — 53 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Release readiness

A release-ready commit is one for which CI, the Publish Release dry run, and Benchmarks complete successfully on the same pushed SHA. A successful older run does not validate newer local commits.

Audit

  1. Check actual workflow failures; distinguish failures from cancellations, skipped jobs, and runs superseded by a newer SHA.
  2. Map each failed job to a verified local fix or an explicit unresolved blocker. Do not infer that one similarly named fix covers a different job.
  3. Verify generated Alef output is clean and reproducible with the version pinned in alef.toml; generated freshness failures remain unresolved until regeneration converges.
  4. Keep the Unreleased changelog user-facing and synchronized with docs copies. Do not add CI, test, generator, dependency, or internal implementation notes unless users are affected.
  5. Run targeted local checks for changed behavior plus the repository's formatting and linting tasks. Do not substitute a broad passing suite for a failed job's exact configuration.

Publish dry-run contracts

  • Helm appVersion, the container tag, and every artifacthub.io/images entry must describe an image that exists in GHCR. A chart package that names a missing compatibility tag causes Artifact Hub scan failures even when the chart itself published successfully.
  • Linux native-library verification must reject unreadable binaries and GLIBC imports above the supported floor. A readable native library with no GLIBC_* imports is valid; it is not evidence that the scan failed.
  • Windows artifact verification must evaluate each DLL independently. Reset per-library status before inspecting the next artifact so one result cannot leak into another.
  • Elixir musl smoke tests need the NIF and the directory containing its bundled native libraries. Passing only the NIF path is insufficient when dependent shared libraries are staged beside it.
  • Windows GNU Ruby builds must use the ORT-free feature set because the GNU ABI has no compatible ORT prebuilt.

Read the full file on GitHub · 53 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. 9d ago First seen · 53 lines · 49 tokens per session scan A 875934f47c26

Subscribe to this mod's changes

release-readiness is a skill published in the GitHub repository xberg-io/xberg (9,281 stars, last pushed today), licensed MIT. It adds 49 tokens to every session and 640 once invoked, about $0.0002 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.

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