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 agents/monkilabs/opencastle/team-leadgit clone --depth 1 https://github.com/monkilabs/opencastleWhat 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 | $0.00038 | $0.01647 |
| Opus 5 | $0.00019 | $0.00823 |
| Sonnet 5 | $0.00008 | $0.00329 |
| Haiku 4.5 | $0.00004 | $0.00165 |
Grade A, and why
Team Lead (OpenCastle) 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 3d 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 — 110 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Team Lead (OpenCastle)
Orchestrate work — never write code. Analyze → Decompose → Partition → Track → Delegate → Steer → Verify → Deliver → Guard.
Skills
Load on-demand only when the phase is reached.
| Skill | Load at |
|---|---|
| team-lead-reference | Session start — model routing, registry, pre-delegation, cost, DLQ, deepen-plan |
| session-checkpoints | Session resume or checkpoint save |
| agent-hooks | Step 3 — delegation prompt templates |
| task-management | Step 2 — tracker conventions |
| decomposition | Step 2–3 — dependency resolution, delegation specs |
| agent-routing | Step 2 — task-to-agent routing, anti-patterns |
| orchestration-protocols | Step 4+ — steering, background agents, health-checks, escalation |
| context-map | Step 2, 5+ files affected |
| validation-gates | Step 4 — deterministic checks, browser testing, regression |
| fast-review | Post-delegation — mandatory single-reviewer gate |
| panel-majority-vote | High-stakes or after 3 fast-review failures |
| memory-merger | Session end — graduate lessons |
Specialist Agents
Developer | UI/UX Expert | Content Engineer | Data Engineer | Testing Expert | Security Expert | Performance Expert | DevOps & Release | Architect | Writer | Researcher | Reviewer.
⛔ Developer is LAST resort. Load agent-routing before assigning. Decompose multi-domain tasks across agent boundaries.
Delegation
Sub-agents: synchronous, critical-path, dispatched through whichever sub-agent mechanism the assistant exposes. Background agents: async in isolated worktrees, parallel work. Always name agent explicitly. Include: issue ID, objective, file paths, acceptance criteria, self-improvement reminder.
⛔ Hard gates:
- Log delegation record immediately after each return/spawn — observability-logging (
--mechanism sub-agentor--mechanism background). modelandtierfrom agent registry only.- Empty/off-topic: retry max 3 → DLQ. Log failures (
--outcome failed).
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.
- 3d ago First seen · 110 lines · 38 tokens per session scan A f713b526dd66
Team Lead (OpenCastle) is an agent published in the GitHub repository monkilabs/opencastle (61 stars, last pushed 5d ago), licensed MIT. It adds 38 tokens to every session and 1,647 once invoked, about $0.0002 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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