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/issues/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/issues)<a href="https://agentmods.dev/skills/mckinsey/agents-at-scale-ark/issues"><img src="https://agentmods.dev/badge/skills/mckinsey/agents-at-scale-ark/issues/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/issues"><img src="https://agentmods.dev/badge/skills/mckinsey/agents-at-scale-ark/issues.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 | $0.00060 | $0.02146 |
| Opus 5 | $0.00030 | $0.01073 |
| Sonnet 5 | $0.00012 | $0.00429 |
| Haiku 4.5 | $0.00006 | $0.00215 |
Grade A, and why
ark-issues 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 5d 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.
How it starts
The opening of the file, as written. The whole thing — 301 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Ark Issues
Manage GitHub issues for the Ark project (mckinsey/agents-at-scale-ark).
When to use this skill
Use this skill when:
- Searching for existing issues by keyword or CVE number
- Finding issues related to security vulnerabilities
- Creating new issues to track bugs or features
- Viewing issue details and status
- Listing open or closed issues
Note: This skill is commonly used by the ark-security-patcher agent to:
- Search for existing CVE-related issues before starting work
- Link PRs to existing issues with "Closes #N" syntax
- Create new issues for tracking discovered vulnerabilities
GitHub CLI Commands
Use the gh CLI tool for all issue operations:
Searching Issues
# Search issues by keyword
gh search issues --repo mckinsey/agents-at-scale-ark "CVE"
# Search for specific CVE numbers
gh search issues --repo mckinsey/agents-at-scale-ark "CVE-2025-55183"
# Search with filters
gh search issues --repo mckinsey/agents-at-scale-ark "security" --state open
gh search issues --repo mckinsey/agents-at-scale-ark "vulnerability" --label security
Listing Issues
# List all open issues
gh issue list --repo mckinsey/agents-at-scale-ark
# List issues with filters
gh issue list --repo mckinsey/agents-at-scale-ark --state open
gh issue list --repo mckinsey/agents-at-scale-ark --label bug
gh issue list --repo mckinsey/agents-at-scale-ark --assignee @me
# List with custom fields
gh issue list --repo mckinsey/agents-at-scale-ark --json number,title,state,labels
Viewing Issue Details
# View specific issue
gh issue view 123 --repo mckinsey/agents-at-scale-ark
# View with comments
gh issue view 123 --repo mckinsey/agents-at-scale-ark --comments
# View as JSON for parsing
gh issue view 123 --repo mckinsey/agents-at-scale-ark --json number,title,body,state,labels
Creating Issues
# Create issue interactively
gh issue create --repo mckinsey/agents-at-scale-ark
# Create with title and body
gh issue create --repo mckinsey/agents-at-scale-ark \
--title "Security: Fix CVE-2025-XXXXX" \
--body "Description of the vulnerability..."
# Create with labels
gh issue create --repo mckinsey/agents-at-scale-ark \
--title "Bug: API endpoint fails" \
--body "Steps to reproduce..." \
--label bug,priority:high
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.
- 5d ago First seen · 301 lines · 60 tokens per session scan A 5d2f55180348
ark-issues is a skill published in the GitHub repository mckinsey/agents-at-scale-ark (422 stars, last pushed today), licensed Apache-2.0. It adds 60 tokens to every session and 2,146 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 2026-09-03.
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