interlateral_agents: Skill for Claude Code

.agent/skills/peer-synthi/SKILL.md

peer-synthi is a skill for Claude Code, Codex from dazzaji/interlateral_agents. It costs 60 tokens per session (1,938 once invoked), scanned A, original, Apache-2.0.

A workflow that combines independent contributions from two or more agents into one research report, design, proposal, or recommendation.

In plain words
What is it for?
Use it to combine research, architecture options, business proposals, plans, and recommendations into a decision-ready document.
Why use it?
It preserves useful ideas from different perspectives without forcing the final report to follow one agent's view. It also records important alternatives or disagreements.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

This is dazzaji/interlateral_agents's own configuration. It tells Claude Code and Codex how to work on interlateral_agents itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything interlateral_agents configures →

Reuse

Borrowing it

Nothing to install: this file belongs to dazzaji/interlateral_agents. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/dazzaji/interlateral_agents/main/.agent/skills/peer-synthi/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/dazzaji/interlateral_agents

Made for: Claude Code, 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 peer-synthi

README.md
[![agentmods](https://agentmods.dev/badge/skills/dazzaji/interlateral_agents/peer-synthi/github.svg)](https://agentmods.dev/skills/dazzaji/interlateral_agents/peer-synthi)
Your own site
<a href="https://agentmods.dev/skills/dazzaji/interlateral_agents/peer-synthi"><img src="https://agentmods.dev/badge/skills/dazzaji/interlateral_agents/peer-synthi/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 peer-synthi

Your own site · 80×15
<a href="https://agentmods.dev/skills/dazzaji/interlateral_agents/peer-synthi"><img src="https://agentmods.dev/badge/skills/dazzaji/interlateral_agents/peer-synthi.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 60 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,938 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 $0.00060 $0.01938
Opus 5.5 $0.00024 $0.00775
Sonnet 5.5 $0.00012 $0.00388
Haiku 4.5 $0.00006 $0.00194

Measured 1mo ago against content hash d14a8cc67255, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

peer-synthi 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 1mo 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.

.agent/skills/peer-synthi/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.

Peer Synthi

Produce one useful answer that retains the best supported findings and ideas from independent peers. Combine compatible contributions, explore stronger options made possible by their combination, and preserve consequential differences without organizing the report around who said what.

Agreement about faithful representation is separate from agreement with every conclusion. A finished report can contain alternative interpretations, conditional recommendations, or dissent. Substantive disagreement alone never makes it incomplete.

Use for research, architectures, business proposals, plans, and recommendations. For reviewing an existing artifact into an agreed revision list, peer-superset remains available unchanged. This workflow creates an advisory deliverable; it does not supply authorization for downstream implementation, publication, filing, spending, or deployment.

Set the run

Use the user's selected participants; do not silently recruit or replace them. Record:

  • The shared question or brief, scope, intended decisions, and output locations.
  • Two or more unique participant identities and their writable locations.
  • An integrator and controller, either of whom may also be a participant. The integrator's original has no priority. Rotation is optional.
  • The evidence standard: required verification, pivotal claims needing an independent source, and applicable domain conventions for confidence.
  • Any time/cost limits, required review coverage, and round budget. Default to one cross-review and one repair pass; spend an additional bounded round only on an issue that could materially improve the result.

Use reasonable defaults where the assignment supplies enough context. Avoid a separate setup questionnaire. Do not make every participant duplicate every check: allocate coverage explicitly when many agents are involved, while each remains responsible for checking how its own material contributions are represented.

An item is material if it could change understanding, confidence, a classification, a feasible option, expected benefit, cost, risk, priority, or next action. Equivalent wording and harmless differences in emphasis need no disagreement record.

Read the full file on GitHub · 95 lines

Files

What ships with it

1 file 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. 1mo ago First seen · 95 lines · 60 tokens per session scan A d14a8cc67255

Subscribe to this mod's changes

peer-synthi is a skill published in the GitHub repository dazzaji/interlateral_agents (11 stars, last pushed 11d ago), licensed Apache-2.0. It adds 60 tokens to every session and 1,938 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-10-03.

Related

peer-synthi compared with skills from other repositories

peer-synthi next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
peer-synthidazzaji/interlateral_agentsSkill1111d agoApache-2.0A60Claude Code, Codex
imagegenopenai/codexSkill134ktodayApache-2.0A113Codex
local-ai-agentsmicrosoft/ai-agents-for-beginnersSkill79ktodayMITA200Claude Code, Codex
playwright-climicrosoft/playwrightSkill99ktodayApache-2.0A19Claude Code
systematic-debuggingobra/superpowersSkill314k4d agoMITA21Claude Code
next-cache-components-adoptionvercel/next.jsSkill143ktodayMITA95Claude Code
chat-pet-sprite-creationmicrosoft/vscodeSkill195ktodayMITA53Claude Code, Codex