generating-release-content

generating-release-content is a skill for Claude Code from buildinternet/releases. It costs 143 tokens per session (4,596 once invoked), scanned A, original, Apache-2.0.

A guide for generating AI-written fields for release records, including headlines, short headlines, summaries, and counts of bugs, features, and enhancements. A release record describes a software update or other published change.

In plain words
What is it for?
Use it when testing prompts or models, generating missing release content, or backfilling and regenerating content.
Why use it?
It provides a consistent process for filling in or rewriting these fields across individual releases, groups of releases, or historical data.

Skill for Claude Code

Written for Claude Code: installed under .claude/. Also seen: mentions subagents; mentions Claude Code; mentions Codex.

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is bun scripts/generate-release-content.ts --orgs=<slugs> --since=<days> --apply.

Part of the registry-maintenance plugin — 8 skills shipped together

Good fit Use it when testing prompts or models, generating missing release content, or backfilling and regenerating content.

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/buildinternet/releases
agentmods
npx agentmods add skills/buildinternet/releases/generating-release-content

Made for: Claude Code.

Or install registry-maintenance, the plugin that ships this one along with the rest of its 8 skills.

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 generating-release-content

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/buildinternet/releases/generating-release-content"><img src="https://agentmods.dev/badge/skills/buildinternet/releases/generating-release-content.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 143 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,596 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 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: 3 findings, 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 Privilege Escalation · line 171
    Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.
    Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
  • medium Prompt Injection · line 93
    Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.
    Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
  • medium Data Exfiltration · line 170
    Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.
    Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
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 $0.00143 $0.04596
Opus 5.5 $0.00057 $0.01838
Sonnet 5.5 $0.00029 $0.00919
Haiku 4.5 $0.00014 $0.00460

Measured 11d ago against content hash 909f71a80221, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

generating-release-content scanned grade A 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 11d 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

Do not run `releases admin release update` or curl PATCH — the parent writes.
.claude/skills/generating-release-content/SKILL.md · 273 lines

How it starts

The opening of the file, as written. The whole thing — 273 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Generating Release Content

Populate the four AI-generated fields on a release:

  • title_generated — self-contained news headline (60–90 chars, hard cap 100)
  • title_short — Axios "smart brevity" headline for chrome-stripped surfaces
  • summary — 1–2 sentence prose blurb
  • composition — {bugs, features, enhancements} counts (stored on releases.metadata.$.composition)

The fields are the same whether you're generating for the first time or rewriting after a prompt change. There is no "new vs. regen" branch in the pipeline — last write wins.

The production prompt emits two more tags this skill does not persist. Since #1696 the shared prompt also outputs <breaking> (upgrade-risk verdict: major/minor/none/unknown) and <migration> (≤3-sentence upgrade steps), persisted at ingest to releases.breaking / releases.migration_notes. The write paths this skill uses can't carry them: PATCH /v1/releases/:id is .strict() and rejects breaking/migrationNotes, and the bulk script's UPDATE only sets the four fields above. Parse and discard them locally (they'll appear in the raw output); regenerating them is ingest-only for now.

Prompt is canonical in code, not in this skill

The system prompt and all parsing rules live in packages/ai/src/release-content.ts. Read it directly; do not paraphrase it back into the user message. The same module is consumed by the ingest worker (apps/api/src/workflows/poll-and-fetch.ts), the backfill script (scripts/generate-release-content.ts, OpenRouter by default), and this skill, so any drift between local-agent output and ingest-time output starts there.

Re-export from that file:

  • SYSTEM_PROMPT — pass verbatim as the system message, with cache_control: { type: "ephemeral" }
  • buildReleaseBlock(input) — build the user message body from a SummarizeReleaseInput (org slug, source name, product name, title, version, url, content)
  • isEmptyContent(body) — short-circuit boilerplate-only bodies; skip the model and write NULLs
  • parseReleaseContent(text) — pull <title>, <title_short>, <summary>, <composition> (plus <breaking>/<migration>, which this skill's write paths drop — see above) out of a response
  • MODEL (claude-haiku-5-5 — Anthropic fallback / --anthropic* paths only), MAX_OUTPUT_TOKENS (440), MAX_BODY_CHARS (8000). Haiku 5.5 calls omit temperature / top_p / top_k and send thinking: { type: "disabled" } so the output cap is not spent on reasoning. Live summarize + the backfill script default to OpenRouter deepseek/deepseek-v4.1-flash (SUMMARIZE_MODEL / RELEASE_CONTENT_MODEL).

Read the full file on GitHub · 273 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. 11d ago Changed 909f71a80221
  2. 26d ago Changed 7cd9208ab378
  3. 1mo ago Changed 466d47dc566c
  4. 1mo ago First seen · 273 lines · 143 tokens per session scan A 0e771c76d6a8

Subscribe to this mod's changes

generating-release-content is a skill published in the GitHub repository buildinternet/releases (9 stars, last pushed today), licensed Apache-2.0. It adds 143 tokens to every session and 4,596 once invoked, about $0.0006 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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