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/ark-dependabot-management/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/ark-dependabot-management)<a href="https://agentmods.dev/skills/mckinsey/agents-at-scale-ark/ark-dependabot-management"><img src="https://agentmods.dev/badge/skills/mckinsey/agents-at-scale-ark/ark-dependabot-management/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/ark-dependabot-management"><img src="https://agentmods.dev/badge/skills/mckinsey/agents-at-scale-ark/ark-dependabot-management.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 | $0.00052 | $0.01300 |
| Opus 5.5 | $0.00021 | $0.00520 |
| Sonnet 5.5 | $0.00010 | $0.00260 |
| Haiku 4.5 | $0.00005 | $0.00130 |
Grade A, and why
ark-dependabot-management scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 158 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Ark Dependabot Management
Consolidate open Dependabot PRs into a single integration branch for unified review and merge.
Strategy
All open Dependabot PRs get merged into a single integration/dependabot branch which has one PR into main. This avoids CI churn from merging individual dependency bumps.
Pre-flight: Check for stale config
Before consolidating, verify all directories in .github/dependabot.yaml still exist:
yq '.updates[].directory // .updates[].directories[]' .github/dependabot.yaml | while read dir; do
[ ! -d "$dir" ] && echo "STALE: $dir"
done
Remove stale entries before proceeding — they cause Dependabot workflow errors.
Consolidate Pull Requests
Preferred approach: Git merge
The fastest method is to merge each dependabot branch directly into a fix branch:
git checkout -b fix/build-consolidation origin/main
# For each dependabot PR branch:
git fetch origin <dependabot-branch>
git merge --no-edit origin/<dependabot-branch>
This is simpler than the GitHub API approach below, avoids needing --admin permissions, and lets you test all updates together locally before pushing.
Alternative approach: GitHub API
Use the API method when you need to keep individual PRs open for tracking, or when merging into the integration/dependabot branch.
Step 1: List open Dependabot PRs
gh pr list --repo mckinsey/agents-at-scale-ark --state open --author "app/dependabot" \
--json number,title,headRefName --jq '.[] | "\(.number)\t\(.title)"'
Step 2: Check for existing integration branch and PR
EXISTING_PR=$(gh pr list --repo mckinsey/agents-at-scale-ark --state open \
--head integration/dependabot --json number --jq '.[0].number // empty')
if [ -n "$EXISTING_PR" ]; then
echo "Existing open PR: #${EXISTING_PR}"
fi
If no open PR exists, check if the branch exists and if there's a merged PR to reopen from:
BRANCH_EXISTS=$(gh api repos/mckinsey/agents-at-scale-ark/git/ref/heads/integration/dependabot \
--jq '.object.sha' 2>/dev/null || echo "")
MERGED_PR=$(gh pr list --repo mckinsey/agents-at-scale-ark --state merged \
--head integration/dependabot --json number --jq '.[0].number // empty')
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.
- 2mo ago First seen · 158 lines · 52 tokens per session scan A d5ba7a5588f1
ark-dependabot-management is a skill published in the GitHub repository mckinsey/agents-at-scale-ark (434 stars, last pushed yesterday), licensed Apache-2.0. It adds 52 tokens to every session and 1,300 once invoked, about $0.0002 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 2026-09-03.
ark-dependabot-management compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| ark-dependabot-managementmckinsey/agents-at-scale-ark | Skill | 434 | yesterday | Apache-2.0 | A | 52 | Claude Code |
| agentic-jujutsuruvnet/ruflo | Skill | 81k | yesterday | MIT | A | 26 | Claude Code |
| github-pr-workflowpaperclipai/paperclip | Skill | 111k | yesterday | MIT | A | 39 | Claude Code, Codex |
| github-automationruvnet/ruflo | Skill | 81k | yesterday | MIT | A | 61 | Claude Code |
| git-advanced-workflowswshobson/agents | Skill | 42k | yesterday | MIT | A | 54 | Claude Code |
| workflow-patternswshobson/agents | Skill | 42k | yesterday | MIT | A | 35 | Claude Code |
| mcore-split-prNVIDIA/skills | Skill | 3.9k | yesterday | Apache-2.0 | A | 25 | Claude Code |