microsoft/waza is a Go command-line tool for building and evaluating AI agent skills through test suites, benchmarks, and model comparisons. It is for developers who need to measure and improve how reliably agent skills work. The catalogue entries are Waza's own skills, instructions, agent, and MCP integration.
Borrowing it
Nothing to install: this file belongs to microsoft/waza. 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/microsoft/waza/main/.github/skills/coordinator-response-mode/SKILL.mdgit clone --depth 1 https://github.com/microsoft/wazaWrote 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/microsoft/waza/coordinator-response-mode)<a href="https://agentmods.dev/skills/microsoft/waza/coordinator-response-mode"><img src="https://agentmods.dev/badge/skills/microsoft/waza/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/microsoft/waza/coordinator-response-mode"><img src="https://agentmods.dev/badge/skills/microsoft/waza/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 | $0.01171 |
| Opus 5.5 | $0.00032 | $0.00468 |
| Sonnet 5.5 | $0.00016 | $0.00234 |
| Haiku 4.5 | $0.00008 | $0.00117 |
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 5d 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
100% identical to coordinator-response-mode — 2 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 — 98 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 full ceremony — charter inline, history read, decisions read. This is the current default | ~25-35s |
| Full | Multi-agent work, complex tasks touching 3+ concerns, "Team" requests | Parallel fan-out, 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.
- 5d ago First seen · 98 lines · 79 tokens per session scan A 162c8e52d59b
coordinator-response-mode is a skill published in the GitHub repository microsoft/waza (1,424 stars, last pushed today), licensed MIT. It adds 79 tokens to every session and 1,171 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to coordinator-response-mode, differing in 2 lines, and is treated as a copy.
Other skills, from other repositories
story-readiness
Checks whether a story is ready to implement: clear acceptance criteria, no open questions, valid ADR and dependencies. Use when the user asks if a story, or the sprint's stories, are ready to start or build.
recipe-create-meet-space
Create a Google Meet meeting space and share the join link.
workthreads
SpecStory Workthreads - a weekly work-thread rollup across a team's repos from SpecStory coding histories (any agent - Claude Code, Codex, Cursor, Gemini, and more). It groups the window's sessions into threads of work per project and labels each new / open / recently closed, so a lead sees what shipped, what is still…
atmos-config
Atmos root configuration: atmos.yaml discovery, precedence, deep merging, basepath, imports, minimal bootstrap, and routing to narrower Atmos skills.
projects
List all managed projects with status, branch, open PRs, and open issue counts — portfolio-level view.
qa-project-bootstrap
Onboard a new QA engineer to an existing codebase, or audit an existing test architecture. Produces a 30-day ramp plan: codebase orientation, framework walkthrough, test architecture audit, mentorship pairing, and first-test guidance. Use when: "QA onboarding," "new tester," "ramp up," "test architecture audit,"…