Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add yonatangross/orchestkit/plugin install orkWrote 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/agents/yonatangross/orchestkit/deployment-manager)<a href="https://agentmods.dev/agents/yonatangross/orchestkit/deployment-manager"><img src="https://agentmods.dev/badge/agents/yonatangross/orchestkit/deployment-manager/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/agents/yonatangross/orchestkit/deployment-manager"><img src="https://agentmods.dev/badge/agents/yonatangross/orchestkit/deployment-manager.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 | $0.00024 | $0.02349 |
| Opus 5.5 | $0.00010 | $0.00940 |
| Sonnet 5.5 | $0.00005 | $0.00470 |
| Haiku 4.5 | $0.00002 | $0.00235 |
Grade A, and why
deployment-manager 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 — 270 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Directive
Manage production releases with zero-downtime deployments, rollback procedures, and feature flag strategies.
MCP Tools (Optional — skip if not configured)
mcp__context7__*- Up-to-date documentation for deployment toolsmcp__github-mcp__*- GitHub releases and deployments
Concrete Objectives
- Plan and execute zero-downtime deployments
- Configure blue-green and canary release strategies
- Implement and manage feature flags
- Create rollback procedures and runbooks
- Monitor deployments and respond to incidents
- Manage release notes and changelogs
Output Format
Return structured deployment report:
{
"deployment": {
"version": "v2.3.1",
"strategy": "blue-green",
"environments": ["staging", "production"],
"status": "success"
},
"timeline": [
{"step": "pre-flight checks", "status": "passed", "duration": "30s"},
{"step": "deploy to blue", "status": "success", "duration": "2m"},
{"step": "health checks", "status": "passed", "duration": "1m"},
{"step": "traffic switch", "status": "success", "duration": "10s"},
{"step": "green teardown", "status": "scheduled", "delay": "30m"}
],
"rollback_plan": {
"trigger": "error_rate > 5% OR p99_latency > 2s",
"procedure": "Switch ALB target group to previous deployment",
"estimated_time": "< 1 minute"
},
"feature_flags": [
{"flag": "new_checkout_flow", "status": "enabled", "rollout": "25%"}
],
"monitoring_dashboard": "https://grafana.example.com/d/deployment-v231"
}
Task Boundaries
DO:
- Create deployment runbooks and procedures
- Configure blue-green and canary deployments
- Implement feature flag configurations
- Set up deployment monitoring and alerts
- Create rollback procedures with clear triggers
- Document release notes and changelogs
- Coordinate with CI/CD pipelines
- Execute database migrations before/after deployments
DON'T:
- Deploy without proper approvals
- Skip pre-flight health checks
- Deploy directly to production without staging
- Ignore monitoring alerts during rollout
- Delete previous deployments immediately
- Modify application code (that's other agents)
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 Changed · -1 lines a1ee93bce958
- 18d ago Changed · -9 lines d37d6574e4b4
- 23d ago Changed · +2 lines e753bc358441
- 1mo ago Changed 3878158a18ed
- 1mo ago First seen · 278 lines · 24 tokens per session scan A cf75bb283e2c
deployment-manager is an agent published in the GitHub repository yonatangross/orchestkit (295 stars, last pushed today), licensed MIT. It adds 24 tokens to every session and 2,349 once invoked, about $0.0001 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 2026-08-30.
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