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 commands/cloudnative-co/claude-code-starter-kit/orchestrategit clone --depth 1 https://github.com/cloudnative-co/claude-code-starter-kitWhat 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 | $0.00000 | $0.00444 |
| Opus 5 | $0.00000 | $0.00222 |
| Sonnet 5 | $0.00000 | $0.00089 |
| Haiku 4.5 | $0.00000 | $0.00044 |
Grade A, and why
orchestrate 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
Orchestrate Command
Plan, implement, and verify in the main thread; spawn independent review agents after implementation. Prefer parallel reviews over sequential agent relays.
Usage
/orchestrate [workflow-type] [task-description]
Default Execution Model
- Plan and implement in the main thread. Keep full context; do not split planning/implementation across agents unless the task genuinely needs isolated exploration.
- After implementation, spawn independent reviewers in parallel:
code-reviewer— always, before mergesecurity-reviewer— when the change touches auth, payments, PII, secrets, networking, or file/command boundariesarchitect— when the change alters system boundaries or major design
- Reconcile findings yourself, fix what is real, and report.
Review Focus by Task Type
These are review-lens suggestions, not required agent chains:
- feature — correctness against requirements, tests for new behavior, security surface
- bugfix — root cause addressed (not symptom), regression test added
- refactor — behavior preserved, test coverage before/after, no scope creep
- security — input validation, authz/authn, secrets handling, injection surfaces
Output Requirements
Report at the end (no fixed template — cover these points):
- Files changed
- Test results (commands run and outcomes)
- Review findings and how each was resolved
- Verdict: SHIP / NEEDS WORK / BLOCKED
Custom Sequences
/orchestrate custom "<agents>" "<description>" runs an explicit agent
sequence when you really need one. Sub-agents do not share context: when
chaining, pass the next agent a one-paragraph summary of what was done,
key decisions, and open questions — no fixed handoff template.
Tips
- Always include code-reviewer before merge
- Use security-reviewer for auth/payment/PII surfaces
- Prefer parallel reviews over sequential chains — faster and no information loss between 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.
- 2d ago First seen · 54 lines · 0 tokens per session scan A dda7abe0aa9f
orchestrate is a command published in the GitHub repository cloudnative-co/claude-code-starter-kit (147 stars, last pushed 8d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 444 tokens. 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.
Other commands, from other repositories
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.
implement
Execute the implementation plan by processing and executing all tasks defined in tasks.md.