evidence-synthesis

evidence-synthesis is a skill for Claude Code, Codex from cdeust/zetetic-team-subagents. It costs 63 tokens per session (945 once invoked), scanned A, original, MIT.

A method for combining findings from multiple papers, benchmarks, interviews, reviews, or other sources into a qualified conclusion. It keeps track of evidence, uncertainty, conflicting results, and opposing evidence.

In plain words
What is it for?
Use it to synthesize research, compare conflicting evidence, audit claims, map arguments, code qualitative material, and update beliefs as new evidence appears.
Why use it?
It reduces the risk of treating one source or an attractive result as conclusive. It makes the reasoning behind a conclusion easier to inspect and revise.

Skill for Claude CodeCodex

Written for Claude Code and Codex: shipped in a Claude Code plugin, but also agents/openai.yaml present.

Part of the zetetic-team-subagents plugin — 16 skills, 2 commands, 23 agents, 7 hooks, 1 MCP server shipped together

Good fit Use it to synthesize research, compare conflicting evidence, audit claims, map arguments, code qualitative material, and update beliefs as new evidence appears.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/cdeust/zetetic-team-subagents/evidence-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 cdeust/zetetic-team-subagents --skill evidence-synthesis
Clone the repo
git clone --depth 1 https://github.com/cdeust/zetetic-team-subagents

Made for: Claude Code, Codex.

Or install zetetic-team-subagents, the plugin that ships this one along with the rest of its 16 skills, 2 commands, 23 agents, 7 hooks, 1 MCP server.

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 evidence-synthesis

README.md
[![agentmods](https://agentmods.dev/badge/skills/cdeust/zetetic-team-subagents/evidence-synthesis/github.svg)](https://agentmods.dev/skills/cdeust/zetetic-team-subagents/evidence-synthesis)
Your own site
<a href="https://agentmods.dev/skills/cdeust/zetetic-team-subagents/evidence-synthesis"><img src="https://agentmods.dev/badge/skills/cdeust/zetetic-team-subagents/evidence-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 evidence-synthesis

Your own site · 80×15
<a href="https://agentmods.dev/skills/cdeust/zetetic-team-subagents/evidence-synthesis"><img src="https://agentmods.dev/badge/skills/cdeust/zetetic-team-subagents/evidence-synthesis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 63 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 945 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 $0.00063 $0.00945
Opus 5 $0.00032 $0.00473
Sonnet 5 $0.00013 $0.00189
Haiku 4.5 $0.00006 $0.00094

Measured 11d ago against content hash 9049201e09b7, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

evidence-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.

plugins/zetetic-reasoning/skills/evidence-synthesis/SKILL.md · 89 lines

How it starts

The opening of the file, as written. The whole thing — 89 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Evidence Synthesis

Turn a corpus into a traceable conclusion. Treat a conclusion as provisional unless multiple independent primary sources support it under conditions that match the question.

The bundled references are modern, reusable reconstructions grounded in the cited works. Do not present their exact workflows as historical claims that the named figures stated verbatim.

Select the reasoning references

Read every reference needed for the source shape. Combine references when the question crosses rows.

Reference Use it for
Cochrane systematic search, study appraisal, heterogeneity, publication bias
Toulmin claim, evidence, warrant, qualifier and rebuttal structure
Feynman rederivation, plain-language integrity checks, cargo-cult detection
Darwin long-horizon accumulation, difficulty books, strongest contrary case first
Laplace explicit prior-to-posterior belief updates and sensitivity analysis
Gadamer interpretation, pre-understanding and charitable reading
Strauss open and focused coding of qualitative material
Geertz behavior in context, emic/etic separation and thick description

Workflow

  1. Bind the question. State the population or context, intervention or phenomenon, comparison, outcome, time horizon and decision at stake. Mark missing elements instead of silently filling them.
  2. Build a source ledger. Record each primary source, its design, setting, date, measured outcome, relevant passage or equation, limitations and independence from the other sources. Trace secondary claims back to the original source before relying on them.
  3. Verify comparability. Check that definitions, units, baselines, populations, versions and experimental conditions match. Keep incompatible evidence in separate strata.
  4. Make the inference visible. For every material claim, write its evidence, warrant, backing, qualifier and strongest rebuttal. Label observations, author interpretations and your own inferences separately.
  5. Seek disconfirmation. Search for null results, contrary cases, adverse outcomes, missing data, publication bias, alternative interpretations and dependency between nominally separate sources.
  6. Synthesize at the supported strength. Report agreement and disagreement, explain heterogeneity and downgrade the conclusion when evidence is indirect, dependent, incomplete or condition-mismatched. Do not invent priors, thresholds, effect sizes or missing measurements.
  7. Audit the draft. Re-derive key steps, explain them in plain language, verify every citation against the source and list blind spots that remain.

Read the full file on GitHub · 89 lines

Files

What ships with it

9 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. 11d ago First seen · 89 lines · 63 tokens per session scan A 9049201e09b7

Subscribe to this mod's changes

evidence-synthesis is a skill published in the GitHub repository cdeust/zetetic-team-subagents (7 stars, last pushed yesterday), licensed MIT. It adds 63 tokens to every session and 945 once invoked, about $0.0003 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.

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