Borrowing it
Nothing to install: this file belongs to drujensen/aiagent. 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/drujensen/aiagent/main/.claude/skills/deploy/SKILL.mdgit clone --depth 1 https://github.com/drujensen/aiagentWrote 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/drujensen/aiagent/deploy)<a href="https://agentmods.dev/skills/drujensen/aiagent/deploy"><img src="https://agentmods.dev/badge/skills/drujensen/aiagent/deploy/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/drujensen/aiagent/deploy"><img src="https://agentmods.dev/badge/skills/drujensen/aiagent/deploy.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00039 | $0.00591 |
| Opus 5.5 | $0.00016 | $0.00236 |
| Sonnet 5.5 | $0.00008 | $0.00118 |
| Haiku 4.5 | $0.00004 | $0.00059 |
Grade A, and why
deploy 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 4d 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.
What it actually says
Deployment Readiness Check
Prepare deployment for:
Instructions
Use the Agent tool with subagent_type: "devops" to verify deployment readiness.
Pass it the version to release (e.g., v1.5.0) and ask it to:
-
Verify the codebase is ready:
go fmt ./... go vet ./... go mod tidy go build . go test ./... -race -
Verify cross-compilation works:
GOOS=linux GOARCH=amd64 go build -o /tmp/aiagent-linux-x86_64 . GOOS=linux GOARCH=arm64 go build -o /tmp/aiagent-linux-arm64 . GOOS=darwin GOARCH=arm64 go build -o /tmp/aiagent-macos-arm64 . GOOS=windows GOARCH=amd64 go build -o /tmp/aiagent-windows-x86_64.exe . -
Verify Docker build:
docker-compose build -
Check go version matches pipeline:
- Compare
godirective ingo.modwithgo-versionin.github/workflows/release.yml
- Compare
-
Check all 7 targets in pipeline:
- linux/amd64, linux/arm64, linux/riscv64, darwin/amd64, darwin/arm64, windows/amd64, windows/arm64
-
Report the release checklist:
## Release Readiness: [version]
- [ ] All tests pass (`go test ./... -race`)
- [ ] Code is formatted (`go fmt ./...`)
- [ ] No vet warnings (`go vet ./...`)
- [ ] Dependencies are tidy (`go mod tidy`)
- [ ] Cross-compilation verified (at least 4 targets)
- [ ] Docker build succeeds
- [ ] Go version consistent between go.mod and pipeline
- [ ] All 7 pipeline targets present
### Next Steps
1. `git tag [version]`
2. `git push origin [version]`
3. GitHub Actions will build and upload release binaries automatically
Important
- Do NOT create the git tag or push — that is the user's action
- The devops agent only verifies readiness
- If any check fails, report what needs to be fixed before releasing
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.
- 4d ago First seen · 71 lines · 39 tokens per session scan A 32fda95bcfa7
deploy is a skill published in the GitHub repository drujensen/aiagent (5 stars, last pushed 2mo ago), licensed MIT. It adds 39 tokens to every session and 591 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 2026-10-03.
Other skills, from other repositories
land-and-deploy
Land and deploy workflow. (gstack).
publish-site
Versioned site deploys to GitHub/Cloudflare/Netlify Pages.
release-publish
Publish an approved Orchard release.
release-review
Review Orchard deployment manifests.
orchard-release
Check deployment evidence and recovery conditions.
orchard-review
Review a release proposal.