expert-synthesis

expert-synthesis is a skill for Codex from Eliyce/paqad-ai. It costs 109 tokens per session (1,194 once invoked), scanned A, original, MIT.

A review step for a software specification pipeline. It reads expert findings and the pipeline's merged results, then decides which findings to accept or decline, identifies uncovered gaps, and gives a readiness status.

In plain words
What is it for?
It is for checking whether a specification is ready, needs answers, or is not ready, and for recommending how to handle disagreements between experts.
Why use it?
It brings several specialist reviews together without silently making unresolved decisions or inventing new findings.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit It is for checking whether a specification is ready, needs answers, or is not ready, and for recommending how to handle disagreements between experts.

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Install with agentmods
npx agentmods add skills/eliyce/paqad-ai/expert-synthesis
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 Eliyce/paqad-ai --skill expert-synthesis
Clone the repo
git clone --depth 1 https://github.com/Eliyce/paqad-ai

Made for: Codex.

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 expert-synthesis

README.md
[![agentmods](https://agentmods.dev/badge/skills/eliyce/paqad-ai/expert-synthesis/github.svg)](https://agentmods.dev/skills/eliyce/paqad-ai/expert-synthesis)
Your own site
<a href="https://agentmods.dev/skills/eliyce/paqad-ai/expert-synthesis"><img src="https://agentmods.dev/badge/skills/eliyce/paqad-ai/expert-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.

agentmods 80×15 button for expert-synthesis

Your own site · 80×15
<a href="https://agentmods.dev/skills/eliyce/paqad-ai/expert-synthesis"><img src="https://agentmods.dev/badge/skills/eliyce/paqad-ai/expert-synthesis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 109 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,194 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 $0.00109 $0.01194
Opus 5 $0.00055 $0.00597
Sonnet 5 $0.00022 $0.00239
Haiku 4.5 $0.00011 $0.00119

Measured yesterday against content hash 4569842c871e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

expert-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 yesterday.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/lint-output.sh), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

runtime/base/skills/expert-synthesis/SKILL.md · 95 lines

How it starts

The opening of the file, as written. The whole thing — 95 lines — stays where its author put it; the contents beside it link to each section on GitHub.

What It Does

Reads everything the experts produced and synthesises it into one readiness call. The experts each looked through their own lens; the chief reads across all of them plus the script's deterministic merge, and does what no single expert can: it accepts or declines each finding with a reason, it recommends a resolution for every conflict two experts raised (a recommendation, never applied — that becomes a decision the human makes), it names the gaps no expert covered, and it gives a verdict of ready, needs-answers, or not-ready.

The chief may accept, decline, or flag a gap. It may not invent a finding of its own — every finding id it accepts or declines must be one the merge already knows. The pipeline script enforces that, and turns each conflict into one spec.expert_conflict decision packet.

Use This When

  • The spec pipeline is running with the expert roster on, the experts have written notes, and the script has merged them (expert-merge.json exists). Run this once, after the notes step.

Do not run it when no expert fired — the chief only runs when at least one expert did.

Inputs

  • merge_path — required. The merged findings (each with an id) and the conflicts, from the script.
  • notes_path — required. The raw expert notes, for the reasons behind each finding.
  • request_path — required. The request text.
  • grounding_path — required. The grounding, so a finding that contradicts the docs is a gap.

Read references/synthesis-checklist.md for the gap categories to look for.

Procedure

  1. Read the request, the grounding, the notes and the merge.
  2. For every merged finding id, accept it, or decline it with a one-line reason. Cover each id exactly once — an unaccounted finding is a gap in your own read.
  3. For each conflict in the merge, write a recommendation that is one of that conflict's claims, verbatim, plus a rationale. Do not apply it; it becomes a decision the human resolves.
  4. List the gaps by the categories in references/synthesis-checklist.md: an uncovered area, a contradiction with the grounding docs, a requirement with no owner answer, a missing non-goal, a missing failure path. Attach a plain-language question to a gap that needs one.
  5. Give the verdict — ready, needs-answers, not-ready — and hand over the questions worth asking (business words; the plain-language check applies).
  6. Validate with scripts/lint-output.sh, then hand the file to the pipeline: paqad-ai spec pipeline experts synthesis <file>.

Read the full file on GitHub · 95 lines

Files

What ships with it

4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. yesterday First seen · 95 lines · 109 tokens per session scan A 4569842c871e

Subscribe to this mod's changes

expert-synthesis is a skill published in the GitHub repository Eliyce/paqad-ai (8 stars, last pushed yesterday), licensed MIT. It adds 109 tokens to every session and 1,194 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 2026-09-11.