team-coordination

team-coordination is a skill for Claude Code from synaptiai/synapti-marketplace. It costs 75 tokens per session (1,088 once invoked), scanned A, original, Apache-2.0.

A set of rules for coordinating multiple coding agents during reviews or parallel implementation. It keeps reviewers independent before their findings are combined.

In plain words
What is it for?
Use it for adversarial code reviews, parallel feature work, debugging with competing explanations, and deciding when one agent is enough.
Why use it?
It reduces group bias in reviews and helps divide larger work into tasks that can be handled separately.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: agent in frontmatter.

Part of the flow plugin — 33 skills, 21 commands, 9 agents shipped together

Good fit Use it for adversarial code reviews, parallel feature work, debugging with competing explanations, and deciding when one agent is enough.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/synaptiai/synapti-marketplace/team-coordination
Install

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.

Any agent
npx skills add synaptiai/synapti-marketplace --skill team-coordination
Clone the repo
git clone --depth 1 https://github.com/synaptiai/synapti-marketplace

Made for: Claude Code.

Or install flow, the plugin that ships this one along with the rest of its 33 skills, 21 commands, 9 agents.

Wrote 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.

agentmods badge for team-coordination

README.md
[![agentmods](https://agentmods.dev/badge/skills/synaptiai/synapti-marketplace/team-coordination/github.svg)](https://agentmods.dev/skills/synaptiai/synapti-marketplace/team-coordination)
Your own site
<a href="https://agentmods.dev/skills/synaptiai/synapti-marketplace/team-coordination"><img src="https://agentmods.dev/badge/skills/synaptiai/synapti-marketplace/team-coordination/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.

agentmods 80×15 button for team-coordination

Your own site · 80×15
<a href="https://agentmods.dev/skills/synaptiai/synapti-marketplace/team-coordination"><img src="https://agentmods.dev/badge/skills/synaptiai/synapti-marketplace/team-coordination.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 75 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,088 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00075 $0.01088
Opus 5 $0.00037 $0.00544
Sonnet 5 $0.00015 $0.00218
Haiku 4.5 $0.00007 $0.00109

Measured 2d ago against content hash 4e453fcf0bda, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

team-coordination 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.

plugins/flow/skills/team-coordination/SKILL.md · 57 lines

How it starts

The opening of the file, as written. The whole thing — 57 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Team Coordination

Contract

Independent analysis before shared conclusions: teammates who see each other's findings are contaminated reviewers. Applies only when agentTeams: true and CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS is set; commands/review.md Path A applies it, using the tables in references/paired-review-protocol.md verbatim. Returns consolidated P1/P2/P3 findings, each carrying a confidence and a disposition from the controlled set consensus|validated|refined|kept|unchallenged. The only permitted skip is the documented per-facet fallback to single-reviewer Path B; a paired-protocol failure never blocks a review.

When to Spawn Teams

Scenario Decision
Review with 3+ facets Spawn: independent analysis enables the adversarial protocol
Large feature (>5 acceptance criteria, independent modules) Suggest: parallel implementation across modules
Debugging with competing hypotheses Spawn: one hypothesis per teammate
Small feature (<3 criteria) or sequential dependencies Single session

Task Sizing

5-6 tasks per teammate, each completable without coordination and carrying its own acceptance criteria. Overlapping file sets go to the same teammate.

Adversarial Review Protocol

Each facet runs as a paired reviewer: a skeptic ("assume the diff is broken until proven otherwise") and a verifier ("assume correct; look for missed edge cases and unenforced invariants"), dispatched in parallel with no view of each other. The default 6-facet topology is 12 invocations: 5 Agent(...) pairs plus 2 Skill(holdout-validation) lens calls.

  1. Independent analysis. Both variants return P1/P2/P3 findings with file:line citations. No challenge information in this phase.
  2. Share. The lead indexes findings by facet. No LLM call. Holdout findings are indexed for consensus matching only.
  3. Challenge (disposition-only). Each variant labels the other's findings AGREE, DISAGREE: <reason>, or REFINE: priority= category= WITHOUT re-reading the diff. Holdout-validation is excluded by design: it is objective claim-verification, so DISAGREE has no meaning there.
  4. Synthesize. The lead applies the consolidation table mechanically: both raised independently (same facet, file, lines ±2, priority ±1) → HIGH consensus; AGREE → HIGH validated; REFINE → MEDIUM refined; DISAGREE → LOW kept; timeout/error → MEDIUM unchallenged; both DISAGREE → dropped and journaled under ## Dropped after challenge. The lead never adjudicates.
  5. Emit. Finding tables carry a trailing _(confidence · disposition)_ suffix; the FLOW_REVIEW_CYCLE marker carries the 7-field rows per references/finding-ledger-parser.md.

Read the full file on GitHub · 57 lines

Changes

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.

  1. 2d ago Changed · -162 lines · -5 tokens per session 4e453fcf0bda
  2. 9d ago First seen · 219 lines · 80 tokens per session scan A b39b0384b1da

Subscribe to this mod's changes

team-coordination is a skill published in the GitHub repository synaptiai/synapti-marketplace (6 stars, last pushed today), licensed Apache-2.0. It adds 75 tokens to every session and 1,088 once invoked, about $0.0004 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 2026-09-03.

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