source-research

source-research is a skill for Claude Code, Codex from aaronnat23/disp8ch. It costs 0 tokens per session (66 once invoked), scanned A, original, MIT.

A research guide for finding information in uploaded files, scraped websites, or a crawl of several pages. A crawl collects content from linked pages on a site.

In plain words
What is it for?
Use it to research documentation and other websites, summarize multi-page results, and turn important findings into tasks or workflow inputs.
Why use it?
It keeps research tied to its sources and records warnings or missing information instead of relying on unsupported assumptions.

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/aaronnat23/disp8ch/source-research
Any agent
npx skills add aaronnat23/disp8ch --skill source-research
Clone the repo
git clone --depth 1 https://github.com/aaronnat23/disp8ch

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 source-research

README.md
[![agentmods](https://agentmods.dev/badge/skills/aaronnat23/disp8ch/source-research.svg)](https://agentmods.dev/skills/aaronnat23/disp8ch/source-research)
Your own site
<a href="https://agentmods.dev/skills/aaronnat23/disp8ch/source-research"><img src="https://agentmods.dev/badge/skills/aaronnat23/disp8ch/source-research.svg" alt="Measured on agentmods" height="20"></a>
Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 66 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00000 $0.00066
Opus 5 $0.00000 $0.00033
Sonnet 5 $0.00000 $0.00013
Haiku 4.5 $0.00000 $0.00007

Measured 5d ago against content hash a44ecf6f1b20, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

source-research 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 5d 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/data-sources/skills/source-research/SKILL.md · 8 lines

What it actually says

Source Research

Use Data Sources when the answer needs uploaded files, scraped websites, or multi-page crawl context.

  • Prefer a crawl when the user points to documentation or a structured site.
  • Capture crawl warnings and provenance when summarizing results.
  • Turn important sources into board tasks or workflow inputs when follow-up work is needed.
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. 5d ago First seen · 8 lines · 0 tokens per session scan A a44ecf6f1b20

Subscribe to this mod's changes

source-research is a skill published in the GitHub repository aaronnat23/disp8ch (98 stars, last pushed 2d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 66 tokens. 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 2026-08-30.

Related

Other skills, from other repositories

release

Cut a versioned release and publish everos to PyPI via the tag-triggered workflow.

EverMind-AI/EverOS · 20 tokens

agentfield-use

Whenever you have a discrete task to perform — one the user delegated, or one that arose inside your own work — check FIRST whether an installed AgentField agent covers it, and offload to it by default when one does. Coverage, not task size, is the test: even a small job goes to a covering agent. The check is cheap …

Agent-Field/agentfield · 259 tokens

neuron-structured-output

Design and implement structured output classes for Neuron AI agents using SchemaProperty attributes and validation rules. Use this skill when the user mentions structured output, JSON schema extraction, data validation, output classes, DTOs for AI responses, extracting structured data from LLM, or configuring property…

neuron-core/neuron-ai · 104 tokens

agent-browser

Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a…

Intelligent-Internet/ii-agent · 108 tokens

agent-evaluation

Run one specified Test Agent on one specified Benchmark Case exactly once, privately score that execution, and return one protocol result.

Prism-Shadow/penguin-harness · 28 tokens

search-docs

Search local Fern documentation for content related to a topic.

NVIDIA-NeMo/DataDesigner · 14 tokens