Borrowing it
Nothing to install: this file belongs to mckinsey/agents-at-scale-ark. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/mckinsey/agents-at-scale-ark/main/.claude/skills/slack-announcement/SKILL.mdgit clone --depth 1 https://github.com/mckinsey/agents-at-scale-arkWrote 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.
[](https://agentmods.dev/skills/mckinsey/agents-at-scale-ark/slack-announcement)<a href="https://agentmods.dev/skills/mckinsey/agents-at-scale-ark/slack-announcement"><img src="https://agentmods.dev/badge/skills/mckinsey/agents-at-scale-ark/slack-announcement/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.
<a href="https://agentmods.dev/skills/mckinsey/agents-at-scale-ark/slack-announcement"><img src="https://agentmods.dev/badge/skills/mckinsey/agents-at-scale-ark/slack-announcement.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00111 | $0.04021 |
| Opus 5 | $0.00056 | $0.02011 |
| Sonnet 5 | $0.00022 | $0.00804 |
| Haiku 4.5 | $0.00011 | $0.00402 |
Grade A, and why
slack-announcement 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 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
The docs sites are a Next.js SPA on GitHub Pages. The published URL works once a browser runs the JS bundle, which is what real readers get when they click a Slack link. A direct `curl` fetches the SPA shell and often se How it starts
The opening of the file, as written. The whole thing — 294 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Slack announcement skill
Goal
A single Slack-ready post that summarises user-visible changes across Ark core and the Marketplace for a given window, grouped by theme, with markdown-style docs links, and a forward-looking section.
Inputs to confirm with the user
- Window — explicit versions (e.g.
v0.1.55 → v0.1.60) or a date range. If unclear, ask. - Depth — full long-form post, a short #announcements variant, or both (thread reply). Default full.
Process
1. Pull releases from BOTH repos
Always check both. A release in one repo often has no matching entry in the other.
# Ark core
gh release list --repo mckinsey/agents-at-scale-ark --limit 60
gh release view <tag> --repo mckinsey/agents-at-scale-ark --json body
# Marketplace (component-level tags, e.g. executor-claude-agent-sdk-v0.1.8)
gh release list --repo mckinsey/agents-at-scale-marketplace --limit 100 \
--json tagName,publishedAt \
--jq '.[] | select(.publishedAt >= "<start-date>")'
gh release view <tag> --repo mckinsey/agents-at-scale-marketplace --json body
For the marketplace, group component-level releases by component (e.g. executor-claude-agent-sdk: v0.1.0 → v0.1.9) and summarise the arc, not each patch.
2. Deduplicate and filter
- Release-please regenerates the full CHANGELOG in some releases — compare
gh api repos/<owner>/<repo>/compare/<prev>...<current>to find the genuinely new commits, not cumulative ones. - Drop ops/CI-only items: test migrations, dependency bumps, CVE patches (unless user-visible), flaky-CI fixes, release-please plumbing, deploy-pipeline fixes, SonarQube tweaks, mock-LLM work, install reliability patches.
3. Fetch docs links from the PR that shipped each feature
Release notes carry a PR number (... ([#1215](...))). The PR's own diff is the best source of truth for which docs page documents that feature. Don't guess the URL from the feature name — pull it from the PR.
3a. Find docs files changed in each PR
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.
- 8d ago First seen · 294 lines · 111 tokens per session scan A 1f8944af3047
slack-announcement is a skill published in the GitHub repository mckinsey/agents-at-scale-ark (422 stars, last pushed yesterday), licensed Apache-2.0. It adds 111 tokens to every session and 4,021 once invoked, about $0.0006 per session on Opus 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 2026-09-03.
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