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 skills add pjt222/agent-almanac --skill coordinate-reasoninggit clone --depth 1 https://github.com/pjt222/agent-almanacWrote 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/pjt222/agent-almanac/coordinate-reasoning)<a href="https://agentmods.dev/skills/pjt222/agent-almanac/coordinate-reasoning"><img src="https://agentmods.dev/badge/skills/pjt222/agent-almanac/coordinate-reasoning/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/pjt222/agent-almanac/coordinate-reasoning"><img src="https://agentmods.dev/badge/skills/pjt222/agent-almanac/coordinate-reasoning.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00090 | $0.03031 |
| Opus 5 | $0.00045 | $0.01515 |
| Sonnet 5 | $0.00018 | $0.00606 |
| Haiku 4.5 | $0.00009 | $0.00303 |
Grade A, and why
coordinate-reasoning 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 6d 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 — 245 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Coordinate Reasoning
Manage the internal coordination of reasoning processes using stigmergic principles — treating context as an environment where information signals have freshness, decay rates, and interaction rules that produce coherent behavior from simple local protocols.
When to Use
- During complex tasks where multiple sub-tasks must coordinate (multi-file edits, multi-step refactoring)
- When context has grown long and information freshness is uncertain
- After context compression when some information may have been lost
- When sub-task outputs need to feed into each other cleanly
- When earlier reasoning results need to be carried forward without degradation
- Complementing
forage-solutions(exploration) andbuild-coherence(decision) with execution coordination
Inputs
- Required: Current task decomposition (what sub-tasks exist and how do they relate?)
- Optional: Known information freshness concerns (e.g., "I read that file 20 messages ago")
- Optional: Sub-task dependency map (which sub-tasks feed into which?)
- Optional: Available coordination tools (MEMORY.md, task list, inline notes)
Procedure
Step 1: Classify the Coordination Problem
Different coordination challenges require different signal designs.
AI Coordination Problem Types:
┌─────────────────────┬──────────────────────────────────────────────────┐
│ Type │ Characteristics │
├─────────────────────┼──────────────────────────────────────────────────┤
│ Foraging │ Multiple independent searches running in │
│ (scattered search) │ parallel or sequence. Coordination need: share │
│ │ findings, avoid duplicate work, converge on │
│ │ best trail │
├─────────────────────┼──────────────────────────────────────────────────┤
│ Consensus │ Multiple approaches evaluated, one must be │
│ (competing paths) │ selected. Coordination need: independent │
│ │ evaluation, unbiased comparison, commitment │
├─────────────────────┼──────────────────────────────────────────────────┤
│ Construction │ Building a complex output incrementally (multi- │
│ (incremental build) │ file edit, long document). Coordination need: │
│ │ consistency across parts, progress tracking, │
│ │ dependency ordering │
├─────────────────────┼──────────────────────────────────────────────────┤
│ Defense │ Maintaining quality under pressure (tight time, │
│ (quality under │ complex requirements). Coordination need: │
│ pressure) │ monitoring for errors, rapid correction, │
│ │ awareness of degradation │
├─────────────────────┼──────────────────────────────────────────────────┤
│ Division of labor │ Task decomposed into sub-tasks with │
│ (sub-task mgmt) │ dependencies. Coordination need: ordering, │
│ │ handoff, result integration │
└─────────────────────┴──────────────────────────────────────────────────┘
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.
- 6d ago First seen · 245 lines · 90 tokens per session scan A 4f2bb6e25088
coordinate-reasoning is a skill published in the GitHub repository pjt222/agent-almanac (32 stars, last pushed yesterday), licensed MIT. It adds 90 tokens to every session and 3,031 once invoked, about $0.0005 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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