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.
npx agentmods add skills/rootly-ai-labs/rootly-claude-plugin/deploy-checknpx skills add Rootly-AI-Labs/rootly-claude-plugin --skill deploy-checkgit clone --depth 1 https://github.com/Rootly-AI-Labs/rootly-claude-pluginWrote 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/rootly-ai-labs/rootly-claude-plugin/deploy-check)<a href="https://agentmods.dev/skills/rootly-ai-labs/rootly-claude-plugin/deploy-check"><img src="https://agentmods.dev/badge/skills/rootly-ai-labs/rootly-claude-plugin/deploy-check.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00041 | $0.00881 |
| Opus 5 | $0.00020 | $0.00441 |
| Sonnet 5 | $0.00008 | $0.00176 |
| Haiku 4.5 | $0.00004 | $0.00088 |
Grade A, and why
deploy-check 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 6d 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 — 99 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Pre-Deploy Safety Check (experimental)
Experimental: this skill uses
context: forkto delegate to thedeploy-guardianagent. In some Claude Code contexts the forked subagent does not inherit the plugin's MCP tools. If the agent reports MCP tools unavailable, run/rootly:statusto manually check active incidents before deploying.
You are evaluating whether it is safe to deploy the current code changes. Follow this workflow carefully.
Current changes
!git diff --stat HEAD
Current branch
!git branch --show-current
Recent commits
!git log --oneline -5
Workflow
1. Assess Changes
Review the git diff output above. If the diff is empty (no changes), report "No changes to evaluate -- working tree is clean" and stop.
Identify which files and components are affected by the changes.
2. Resolve Affected Services
Determine which Rootly service(s) these changes map to, using this resolution chain (in priority order):
- Check
.claude/rootly-config.jsonin the project root -- if it exists, use theservicesfield - Match repo name: Use the git repo name (from
basename $(git rev-parse --show-toplevel)) to search for matching Rootly services viamcp__rootly__search_incidents - Ask the user: If neither method works, ask which service(s) this repo maps to
3. Search Incident History
Call mcp__rootly__search_incidents for the identified services, looking at the last 90 days. Note any patterns in frequency, severity, or root causes.
4. Find Related Incidents
Call mcp__rootly__find_related_incidents with a summary of the current changes (based on the diff). This uses TF-IDF similarity matching to find historically similar incidents.
If results have confidence scores below 0.3, flag them as low confidence and note that manual review may be needed.
5. Check Active Incidents
Call mcp__rootly__search_incidents filtered to active (started) status for the affected services. Pay special attention to P1/P2 (critical/high severity) incidents.
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.
- 6d ago First seen · 99 lines · 41 tokens per session scan A f93756bd8d26
deploy-check is a skill published in the GitHub repository Rootly-AI-Labs/rootly-claude-plugin (1 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 41 tokens to every session and 881 once invoked, about $0.0002 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 2026-08-30.
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