Borrowing it
Nothing to install: this file belongs to sabbour/agentweaver. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/sabbour/agentweaver/dev/.github/skills/coordinator-response-mode/SKILL.mdgit clone --depth 1 https://github.com/sabbour/agentweaverWrote 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/sabbour/agentweaver/coordinator-response-mode)<a href="https://agentmods.dev/skills/sabbour/agentweaver/coordinator-response-mode"><img src="https://agentmods.dev/badge/skills/sabbour/agentweaver/coordinator-response-mode/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/skills/sabbour/agentweaver/coordinator-response-mode"><img src="https://agentmods.dev/badge/skills/sabbour/agentweaver/coordinator-response-mode.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 | $0.00079 | $0.01204 |
| Opus 5.5 | $0.00032 | $0.00482 |
| Sonnet 5.5 | $0.00016 | $0.00241 |
| Haiku 4.5 | $0.00008 | $0.00120 |
Grade A, and why
coordinator-response-mode 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 1mo 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.
This is a copy
92% identical to coordinator-response-mode — 15 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 101 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Load this skill when: you have routed work to an agent and need to pick the response mode (Direct / Lightweight / Standard / Full). The 1-line stub in
squad.agent.mdis for awareness; this skill is the full decision table + templates.
Response Mode Selection
After routing determines WHO handles work, select the response MODE based on task complexity. Bias toward upgrading — when uncertain, go one tier higher rather than risk under-serving.
| Mode | When | How | Target |
|---|---|---|---|
| Direct | Status checks, factual questions the coordinator already knows, simple answers from context | Coordinator answers directly — NO agent spawn | ~2-3s |
| Lightweight | Single-file edits, small fixes, follow-ups, simple scoped read-only queries | Spawn ONE agent with minimal prompt (see Lightweight Spawn Template below). Use agent_type: "explore" for read-only queries |
~8-12s |
| Standard | Normal tasks, single-agent work requiring full context | Spawn one agent with the context needed for the task | ~25-35s |
| Full | Substantial design work across 3+ concerns, or a material design/safety decision | Parallel fan-out and full ceremony, Scribe included | ~40-60s |
Direct Mode exemplars
Coordinator answers instantly, no spawn:
- "Where are we?" → Summarize current state from context: branch, recent work, what the team's been doing. A user favorite — make it instant.
- "How many tests do we have?" → Run a quick command, answer directly.
- "What branch are we on?" →
git branch --show-current, answer directly. - "Who's on the team?" → Answer from
team.mdalready in context. - "What did we decide about X?" → Answer from
decisions.mdalready in context.
Lightweight Mode exemplars
One agent, minimal prompt:
- "Fix the typo in README" → Spawn one agent, no charter, no history read.
- "Add a comment to line 42" → Small scoped edit, minimal context needed.
- "What does this function do?" →
agent_type: "explore"(Haiku model, fast). - Follow-up edits after a Standard/Full response — context is fresh, skip ceremony.
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.
- 1mo ago First seen · 101 lines · 79 tokens per session scan A 34eaa70b0f71
coordinator-response-mode is a skill published in the GitHub repository sabbour/agentweaver (7 stars, last pushed today), licensed MIT. It adds 79 tokens to every session and 1,204 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 92% identical to coordinator-response-mode, differing in 15 lines, and is treated as a copy.
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