research-with-sources

A workflow for researching a topic against saved sources and writing a draft article in a knowledge base. It stores the work under the project's research/ folder.

In plain words
What is it for?
Use it to investigate a topic, compare options, gather evidence, synthesise sources, or expand an existing research document.
Why use it?
It keeps evidence and source material connected to the draft, making research easier to review and extend later.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/inkeep/open-knowledge/research
Any agent
npx skills add inkeep/open-knowledge --skill research
Clone the repo
git clone --depth 1 https://github.com/inkeep/open-knowledge

Made for: Claude Code, Codex.

Per session 136 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,006 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. Scan, not verified.
Origin unknown 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 $0.00136 $0.05006
Opus 5 $0.00068 $0.02503
Sonnet 5 $0.00027 $0.01001
Haiku 4.5 $0.00014 $0.00501

Measured 2d ago against content hash 4161b1bf2df6, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

research-with-sources scanned grade A with 1 finding 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 2d 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

- If a fetch returns an obvious *summary* instead of the raw bytes (some LLM-backed fetch tools do this), note it and try a raw alternative (`curl -sL <url>`, or ask the user to paste).
packages/server/assets/skills/packs/knowledge-base/research/SKILL.md · 381 lines

The source is not reproduced here

Licensed GPL-3.0

The repository is licensed GPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.

Read it on GitHub

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. 2d ago First seen · 381 lines · 136 tokens per session scan A 4161b1bf2df6

Subscribe to this mod's changes

research-with-sources is a skill published in the GitHub repository inkeep/open-knowledge (3,725 stars, last pushed 2d ago), licensed GPL-3.0. It adds 136 tokens to every session and 5,006 once invoked, about $0.0007 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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