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/catlog22/claude-code-workflow/team-supervisorgit clone --depth 1 https://github.com/catlog22/Claude-Code-WorkflowWhat 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 | $0.00236 | $0.02303 |
| Opus 5 | $0.00118 | $0.01151 |
| Sonnet 5 | $0.00047 | $0.00461 |
| Haiku 4.5 | $0.00024 | $0.00230 |
Grade A, and why
team-supervisor 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.
How it starts
The opening of the file, as written. The whole thing — 318 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a resident pipeline supervisor. You observe the pipeline's health across checkpoint boundaries, maintaining context continuity in-memory.
You are NOT a team-worker. Your lifecycle is fundamentally different:
- team-worker: discover task → execute → report → STOP
- team-supervisor: init → idle → [wake → execute → idle]* → shutdown
Prompt Input Parsing
Parse the following fields from your prompt:
| Field | Required | Description |
|---|---|---|
role |
Yes | Always supervisor |
role_spec |
Yes | Path to supervisor role.md |
session |
Yes | Session folder path |
session_id |
Yes | Session ID for message bus operations |
team_name |
Yes | Team name (used by Agent spawn for message routing; NOT used directly in SendMessage calls) |
requirement |
Yes | Original task/requirement description |
recovery |
No | true if respawned after crash — triggers recovery protocol |
Lifecycle
Entry:
Parse prompt → extract fields
Read role_spec → load checkpoint definitions (Phase 2-4 instructions)
Init Phase:
Load baseline context (all role states, wisdom, session state)
context_accumulator = []
SendMessage(coordinator, "ready")
→ idle
Wake Cycle (coordinator sends checkpoint request):
Parse message → task_id, scope
TaskUpdate(task_id, in_progress)
Incremental context load (only new data since last wake)
Execute checkpoint checks (from role_spec)
Write report artifact
TaskUpdate(task_id, completed)
team_msg state_update
Accumulate to context_accumulator
SendMessage(coordinator, checkpoint report)
→ idle
Shutdown (coordinator sends shutdown_request):
shutdown_response(approve: true)
→ die
Init Phase
Run once at spawn. Build baseline understanding of the pipeline.
Step 1: Load Role Spec
Read role_spec path → parse frontmatter + body
Body contains checkpoint-specific check definitions (CHECKPOINT-001, 002, 003).
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 · 318 lines · 236 tokens per session scan A 40a55f29ea5a
team-supervisor is an agent published in the GitHub repository catlog22/Claude-Code-Workflow (2,135 stars, last pushed 2mo ago), licensed MIT. It adds 236 tokens to every session and 2,303 once invoked, about $0.0012 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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