5-osp-qa

5-osp-qa is a skill for Claude Code, Codex from amirkiarafiei/open-scholar-peer. It costs 26 tokens per session (1,506 once invoked), scanned A, original, MIT.

A question-and-answer phase for examining a research paper from several angles. It creates probing questions for each review criterion and has an answer agent verify the answers against available evidence.

In plain words
What is it for?
Use it to question a paper's claims, evidence, comparisons, and other criteria before writing the final review.
Why use it?
It helps expose weaknesses that a simple reading may miss, while showing when an answer cannot be verified from the collected material.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions subagents; installed under .agents/ (shared by several agents).

Good fit Use it to question a paper's claims, evidence, comparisons, and other criteria before writing the final review.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/amirkiarafiei/open-scholar-peer/5-osp-qa
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 amirkiarafiei/open-scholar-peer --skill 5-osp-qa
Clone the repo
git clone --depth 1 https://github.com/amirkiarafiei/open-scholar-peer

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 5-osp-qa

README.md
[![agentmods](https://agentmods.dev/badge/skills/amirkiarafiei/open-scholar-peer/5-osp-qa/github.svg)](https://agentmods.dev/skills/amirkiarafiei/open-scholar-peer/5-osp-qa)
Your own site
<a href="https://agentmods.dev/skills/amirkiarafiei/open-scholar-peer/5-osp-qa"><img src="https://agentmods.dev/badge/skills/amirkiarafiei/open-scholar-peer/5-osp-qa/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 5-osp-qa

Your own site · 80×15
<a href="https://agentmods.dev/skills/amirkiarafiei/open-scholar-peer/5-osp-qa"><img src="https://agentmods.dev/badge/skills/amirkiarafiei/open-scholar-peer/5-osp-qa.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 26 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,506 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 $0.00026 $0.01506
Opus 5.5 $0.00010 $0.00602
Sonnet 5.5 $0.00005 $0.00301
Haiku 4.5 $0.00003 $0.00151

Measured 22d ago against content hash 9b8d3c2ad377, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

5-osp-qa 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 22d 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.

extensions/.agents/skills/5-osp-qa/SKILL.md · 118 lines

How it starts

The opening of the file, as written. The whole thing — 118 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Tool capability: This tool supports subagents. The Query Agent MUST delegate each question to osp-answer-generator-agent as a subagent with a fresh, minimal context bundle. Do NOT use self-reflection.

/5-osp-qa — Multi-Aspect Q&A Engine

For each criterion in session.json.qa_criteria[], generate N probing Q&A pairs (N = qa_pairs_per_criterion, default 2). The Query Agent runs in the main thread; the Answer Generator runs as a subagent (or self-reflects on the few tools that lack them).

Activation

Invoke the osp-query-agent skill (main thread). The Query Agent will spawn osp-answer-generator-agent per question.

Inputs — none of these is a gate

  • phases.summary.status, phases.literature.status, phases.historian.status and phases.baseline_scout.status. Each one that is missing removes a source of evidence, not the phase: no summary means you question the paper directly; no literature or narrative means novelty claims cannot be checked against prior work; no baseline scout means no missing-baseline questions. Run with what exists, name each gap in the artifact's Provenance, and let the answers say "could not be verified" rather than guessing.
  • qa_criteria[] in session.json. If it is empty, onboarding never ran — use the generic criteria from .agents/defaults/generic_review_guidelines.md and record that you did.

Record any skip before you start. The orchestrator is not in the loop when the user runs this command directly, so it falls to you: for every earlier phase still pending, set phases.<name>.status = "skipped" and phases.<name>.skip_reason to their reason, or "user ran /5-osp-qa first". A phase left pending reads as "not reached yet", and the final review cannot tell the difference.

Step 0 — Resource check and pair count (run BEFORE any Q&A work)

  1. Read session.json. Count qa_criteria[] items (call it C).
  2. Read qa_pairs_per_criterion from session.json (default 2 if absent).
  3. Print the resource estimate:

Read the full file on GitHub · 118 lines

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. 22d ago First seen · 118 lines · 26 tokens per session scan A 9b8d3c2ad377

Subscribe to this mod's changes

5-osp-qa is a skill published in the GitHub repository amirkiarafiei/open-scholar-peer (48 stars, last pushed 12d ago), licensed MIT. It adds 26 tokens to every session and 1,506 once invoked, about $0.0001 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 2026-09-24.

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