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/bdfinst/agentic-dev-team/deploynpx skills add bdfinst/agentic-dev-team --skill deploygit clone --depth 1 https://github.com/bdfinst/agentic-dev-teamWhat 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 | $0.00010 | $0.00256 |
| Opus 5 | $0.00005 | $0.00128 |
| Sonnet 5 | $0.00002 | $0.00051 |
| Haiku 4.5 | $0.00001 | $0.00026 |
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 2d 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
Deploy
Parse Arguments
Arguments: $ARGUMENTS
staging(default): deploy to staging environmentproduction: deploy to production (requires staging green)
Steps
1. Run pre-deploy checks
Run npm test and npm run lint. Abort if either fails.
2. Build artifacts
Run npm run build. Verify the dist/ directory is created.
3. Build Docker image
Run docker build -t app:$(git rev-parse --short HEAD) .
4. Push to registry
Run docker push $ECR_REPO:$(git rev-parse --short HEAD)
5. Update service
Run aws ecs update-service --cluster $CLUSTER --service $SERVICE --force-new-deployment
6. Smoke test
Hit the /health endpoint. If it returns non-200 after 60 seconds, trigger rollback.
7. Report
Print deployment status: image tag, environment, timestamp, health check result.
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.
- 2d ago First seen · 46 lines · 10 tokens per session scan A aa75ea1bab3d
deploy is a skill published in the GitHub repository bdfinst/agentic-dev-team (277 stars, last pushed yesterday), licensed MIT. It adds 10 tokens to every session and 256 once invoked, about $0.0001 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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