ln-64-community-announcer

ln-64-community-announcer is a skill for Claude Code from levnikolaevich/claude-code-skills. It costs 26 tokens per session (2,304 once invoked), scanned A, original, MIT.

A tool for preparing and publishing fact-checked announcements in GitHub Discussions, the conversation area attached to a GitHub project.

In plain words
What is it for?
Use it to announce releases, updates, or other project news in the correct GitHub Discussion category.
Why use it?
It gives project news a checked source trail and requires approval of the complete draft before publication.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the delivery-suite plugin — 4 skills shipped together

Good fit Use it to announce releases, updates, or other project news in the correct GitHub Discussion category.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/levnikolaevich/claude-code-skills/ln-64-community-announcer
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 levnikolaevich/claude-code-skills --skill ln-64-community-announcer
Clone the repo
git clone --depth 1 https://github.com/levnikolaevich/claude-code-skills

Made for: Claude Code.

Or install delivery-suite, the plugin that ships this one along with the rest of its 4 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 ln-64-community-announcer

README.md
[![agentmods](https://agentmods.dev/badge/skills/levnikolaevich/claude-code-skills/ln-64-community-announcer/github.svg)](https://agentmods.dev/skills/levnikolaevich/claude-code-skills/ln-64-community-announcer)
Your own site
<a href="https://agentmods.dev/skills/levnikolaevich/claude-code-skills/ln-64-community-announcer"><img src="https://agentmods.dev/badge/skills/levnikolaevich/claude-code-skills/ln-64-community-announcer/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 ln-64-community-announcer

Your own site · 80×15
<a href="https://agentmods.dev/skills/levnikolaevich/claude-code-skills/ln-64-community-announcer"><img src="https://agentmods.dev/badge/skills/levnikolaevich/claude-code-skills/ln-64-community-announcer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 26 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,304 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 $0.00026 $0.02304
Opus 5.5 $0.00010 $0.00922
Sonnet 5.5 $0.00005 $0.00461
Haiku 4.5 $0.00003 $0.00230

Measured 9d ago against content hash fa9c1f48eb32, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

ln-64-community-announcer 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.

plugins/delivery-suite/skills/ln-64-community-announcer/SKILL.md · 116 lines

How it starts

The opening of the file, as written. The whole thing — 116 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Community Announcer

Goal: Create a source-backed announcement and publish it only after the user approves the full draft.

Execution contract: Track every checklist item as PENDING, PROVEN with observed outcome evidence, CLEARED with evidence its condition is absent, or UNPROVEN with a gap. Reading, delegation, tool failure, zero exit status, and self-reported success are not proof. Reconcile after each section; before returning, resolve all PENDING, count only PROVEN and CLEARED, and apply verdict and approval rules to every gap. Preserve intent, scope, mode, and existing authorization. Complete authorized work before required external approval; ask only consequential unresolved choices. If nobody can answer, report the exact question and apply the skill's gap verdict without waiting or guessing. Cite any blocking instruction and unresolved boundary; never invent approval gates. Scale depth to material risk; preserve mandatory checks, dependencies, and safety order while choosing verification methods. Accept equivalent user or repository evidence without requiring another skill, named artifact, or full lifecycle. Preserve source requirement and decision IDs. Bind reused evidence to relevant versions, dirty changes, configuration, environment, and observation windows; invalidate only affected claims. Choose the primary workflow by outcome and explicit selection. Consume neighboring contracts and valid evidence without duplicating ownership or restarting audits. Split distinct deliverables by scope, not mandatory skill invocation. Broad independent assessments use audit workflows; focused domain reviews remain read-only. On continuation, reconcile task, authorization, state, and gaps. Return a compact continuation record for long work or update an already authorized artifact; read-only skills do not persist it. Distinguish artifact readiness, verified behavior, and external-action authority. Trace applicable requirements to their authoritative owner, planned or implemented change, acceptance evidence and status in the existing artifact or response; no new registry is required. Explicit constraints remain binding until an authorized deviation; risk determines priority, not permission to ignore them. Investigate the causal flow beyond initially named files. Within implementation authority, include structural repair needed for the outcome; minimize total complexity and risk, not changed lines. This does not authorize unrelated cleanup or mutation during review. Before retrieval, define the evidence question; read selectively without skipping applicable instructions. Use tools for mechanical processing; summarize bounded results, errors, coverage, and source paths, keeping full output outside context. Before technical decisions, establish applicability and actual versions; verify version-dependent assumptions against official documentation or specifications. Search and read primary pages for current external recommendations; snippets are not evidence. Version-matched bundled documentation or valid prior evidence suffices. Record decision, version, source, and limitations. Mark unavailable evidence UNVERIFIED; block only essential dependent work. Prefer native mechanisms, justify added tools or abstractions with evidence, and reuse the existing rule owner.

Read the full file on GitHub · 116 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 Changed · +2 lines fa9c1f48eb32
  2. 15d ago Changed · +2 lines 32e0ebde3eb6
  3. 25d ago Changed 2b8fcfbf4753
  4. 1mo ago Changed · -1 lines 0f0c14058c3a
  5. 1mo ago Changed · +6 lines · -4 tokens per session d75b2a9133e5
  6. 1mo ago Changed · +2 lines · -7 tokens per session 6c5cb79766d1
  7. 1mo ago First seen · 105 lines · 37 tokens per session scan A 246ed31794b3

Subscribe to this mod's changes

ln-64-community-announcer is a skill published in the GitHub repository levnikolaevich/claude-code-skills (584 stars, last pushed yesterday), licensed MIT. It adds 26 tokens to every session and 2,304 once invoked, about $0.0001 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 2026-08-30.

Related

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