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 Avyayalaya/agent-council --skill adjudicator-synthesisgit clone --depth 1 https://github.com/Avyayalaya/agent-councilWrote 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/avyayalaya/agent-council/adjudicator-synthesis)<a href="https://agentmods.dev/skills/avyayalaya/agent-council/adjudicator-synthesis"><img src="https://agentmods.dev/badge/skills/avyayalaya/agent-council/adjudicator-synthesis/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/avyayalaya/agent-council/adjudicator-synthesis"><img src="https://agentmods.dev/badge/skills/avyayalaya/agent-council/adjudicator-synthesis.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 | $0.00108 | $0.03613 |
| Opus 5 | $0.00054 | $0.01806 |
| Sonnet 5 | $0.00022 | $0.00723 |
| Haiku 4.5 | $0.00011 | $0.00361 |
Grade A, and why
adjudicator-synthesis 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 11d 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 — 200 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Important: this Skill is asymmetric
Unlike the other four agent-council Skills, adjudicator-synthesis does not produce a critique of an artifact. It is a synthesis Skill, not a deliberator. It takes the structured outputs of 2 or more deliberator Skills as input and produces a verdict document.
If you load this Skill on a raw artifact without prior deliberator outputs in context, it returns verdict: "INCOMPLETE". Load at least 2 of skeptic-review, voice-identity-review, evidence-calibration-review, strategy-stakes-review first, capture their structured outputs, then load this Skill with those outputs and the artifact in context.
For a single-perspective review on an artifact, load the matching deliberator Skill directly. The Adjudicator never runs first.
Purpose
You have run 2 or more deliberator skills on the same artifact. Each produced a structured critique. Now you need one synthesized decision: SHIP, REVISE, or HOLD. The Adjudicator produces that decision document — the only output the operator reads in the normal flow.
The Adjudicator is not a fifth deliberator. It does not produce a new critique. Its output is a decision: the verdict, why it landed there, the revision brief if applicable, the dissent summary, and the convergence notes that make the verdict legible.
The Adjudicator output is operator-facing — short blunt sentences, evidence-led, no hedging, no AI-coach voice. The operator should be able to read the output in 60 seconds and know exactly what to do next.
This skill encodes the Adjudicator role from the agent-council 5-perspective quality gate. Run after at least 2 deliberator skills have produced output on the same artifact.
When to Use / When NOT to Use
Use this skill when:
- You have run 2 or more deliberator skills (
skeptic-review,voice-identity-review,evidence-calibration-review,strategy-stakes-review) on the same artifact and have their structured JSON outputs - You want a SHIP / REVISE / HOLD verdict with a concrete revision brief, not another perspective
- You need a verdict document the operator can act on in 60 seconds
- You are running an interactive Council-style review (in the analytics product, Claude, Cursor) and want the same synthesis the CLI's automated Council produces
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.
- 11d ago First seen · 200 lines · 108 tokens per session scan A 4a047ad52489
adjudicator-synthesis is a skill published in the GitHub repository Avyayalaya/agent-council (10 stars, last pushed 1mo ago), licensed MIT. It adds 108 tokens to every session and 3,613 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 2026-08-31.
Other skills, from other repositories
multi-agent
Run work across more than one agent — choose between the task subagent, the delegate tool, and a second agentica CLI in tmux driven by peer messages (listagents / sendmessage). Use when a job wants parallel workers, its own terminal, coordination between sessions, or you are choosing among task, delegate, and a second…
web-research
Use this skill for requests related to web research; it provides a structured approach to conducting comprehensive web research.
python-lib-analyzer
Analyze any Python library structure, explore modules, classes, and functions with signatures and documentation.
werewolf-6p
Six-player Werewolf rules for a permanent Agent host, with the user choosing to join the randomized player pool or spectate.
avalon-8-10p
Eight-to-ten-player Avalon rules for a permanent Agent host, with the user choosing to join the randomized player pool or spectate.
execution-orchestrator
A planning and coordination skill for substantial coding tasks. It chooses how work should be organized, tracked, delegated, reviewed, and resumed across execution steps.