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 skills add humanerd-drew/opencode-drewgent --skill kanban-orchestratorgit clone --depth 1 https://github.com/humanerd-drew/opencode-drewgentWrote 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/humanerd-drew/opencode-drewgent/kanban-orchestrator)<a href="https://agentmods.dev/skills/humanerd-drew/opencode-drewgent/kanban-orchestrator"><img src="https://agentmods.dev/badge/skills/humanerd-drew/opencode-drewgent/kanban-orchestrator.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 | $0.00069 | $0.06454 |
| Opus 5 | $0.00034 | $0.03227 |
| Sonnet 5 | $0.00014 | $0.01291 |
| Haiku 4.5 | $0.00007 | $0.00645 |
Grade A, and why
kanban-orchestrator 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 7d 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 — 461 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Kanban Orchestrator — Decomposition Playbook
The core worker lifecycle (including the
kanban_createfan-out pattern and the "decompose, don't execute" rule) is auto-injected into every kanban process via theKANBAN_GUIDANCEsystem-prompt block. This skill is the deeper playbook when you're an orchestrator profile whose whole job is routing.
Profiles are user-configured — not a fixed roster
Hermes setups vary widely. Some users run a single profile that does everything; some run a small fleet (docker-worker, cron-worker); some run a curated specialist team they've named themselves. There is no default specialist roster — the orchestrator skill does not know what profiles exist on this machine.
Before fanning out, you must ground the decomposition in the profiles that actually exist. The dispatcher silently fails to spawn unknown assignee names — it doesn't autocorrect, doesn't suggest, doesn't fall back. So a card assigned to researcher on a setup that only has docker-worker just sits in ready forever.
Step 0: assess your execution options before planning.
You have three execution paths:
task(subagent_type="<name>")— opencode built-in. Fast, same-session. Names: explorer, implementer, tester, reviewer, reviewer-critical, security-reviewer, planner, orchestrator, designer, sre, analyst, content-manager, editor, archiver, seo-engineer. No config needed.gjc_delegate_execute— GJC worktree isolation + tmux. For risky/isolated work.gjc_delegate_team— GJC tmux parallel workers. For independent parallel subtasks.- Direct execution — you do the work yourself. For simple tasks.
Cache which path you chose in working memory. GJC tools are available as MCP tools — check their descriptions at runtime.
When to use the board (vs. just doing the work)
Create Kanban tasks when any of these are true:
- Multiple specialists are needed. Research + analysis + writing is three profiles.
- The work should survive a crash or restart. Long-running, recurring, or important.
- The user might want to interject. Human-in-the-loop at any step.
- Multiple subtasks can run in parallel. Fan-out for speed.
- Review / iteration is expected. A reviewer profile loops on drafter output.
- The audit trail matters. Board rows persist in SQLite forever.
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 7d ago First seen · 461 lines · 69 tokens per session scan A 18f8ed92c9e7
kanban-orchestrator is a skill published in the GitHub repository humanerd-drew/opencode-drewgent (2 stars, last pushed 1mo ago), licensed MIT. It adds 69 tokens to every session and 6,454 once invoked, about $0.0003 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 2026-08-31.
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