deep-research-generic

deep-research-generic is a skill for Claude Code, Codex from AeonDave/malskill. It costs 94 tokens per session (1,972 once invoked), scanned A, original, no licence file.

A file-backed process for researching a topic in depth by fetching web sources, following relevant links, and combining the findings. It is intended for work that needs several sources and a comprehensive summary.

In plain words
What is it for?
Use it to research, investigate, analyse, or thoroughly summarise a topic when information must be gathered and cross-checked.
Why use it?
It keeps research material in files and supports checking information across sources, which helps with large or multi-step investigations.

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/aeondave/malskill/deep-research-generic
Any agent
npx skills add AeonDave/malskill --skill deep-research-generic
Clone the repo
git clone --depth 1 https://github.com/AeonDave/malskill

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 deep-research-generic

README.md
[![agentmods](https://agentmods.dev/badge/skills/aeondave/malskill/deep-research-generic.svg)](https://agentmods.dev/skills/aeondave/malskill/deep-research-generic)
Your own site
<a href="https://agentmods.dev/skills/aeondave/malskill/deep-research-generic"><img src="https://agentmods.dev/badge/skills/aeondave/malskill/deep-research-generic.svg" alt="Measured on agentmods" height="20"></a>
Per session 94 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,972 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. 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 $0.00094 $0.01972
Opus 5 $0.00047 $0.00986
Sonnet 5 $0.00019 $0.00394
Haiku 4.5 $0.00009 $0.00197

Measured 3d ago against content hash 0171d0a57f13, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

deep-research-generic 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 3d 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.

knowledge/deep-research-generic/SKILL.md · 229 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

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. 3d ago First seen · 229 lines · 94 tokens per session scan A 0171d0a57f13

Subscribe to this mod's changes

deep-research-generic is a skill published in the GitHub repository AeonDave/malskill (18 stars, last pushed today), with no licence file. It adds 94 tokens to every session and 1,972 once invoked, about $0.0005 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 2026-08-30.

Related

Other skills, from other repositories

twitter-reader

Read Twitter/X for financial research using opencli (read-only). Use this skill whenever the user wants to read their Twitter feed, search for financial tweets, view bookmarks, look up user profiles, or gather market sentiment from Twitter/X. Triggers include: "check my feed", "search Twitter for", "show my…

himself65/finance-skills · 161 tokens

atlas-obscura

Search Atlas Obscura for weird, wonderful, and hidden gem places near any destination. Find the interesting stuff, not boring plaques. Search by coordinates, get full details with descriptions and images.

borski/travel-hacking-toolkit · 44 tokens

producthunt-launch-kit

Use when the user asks to prepare a Product Hunt launch or generate Product Hunt listing assets. Generates tagline variants under 60 chars, a 500-char description, a maker comment, launch-day tweet thread, LinkedIn post, and a 4-email launch sequence.

Varnan-Tech/opendirectory · 58 tokens

changelog-composer

Generates structured changelogs and release notes from git history and PRs, classifying breaking changes, features, fixes, performance, docs. Triggers on: "generate changelog", "write release notes", "what changed since", "prepare release", "release notes for", "diff since tag".

Mathews-Tom/armory · 67 tokens

checking-freshness

Quick data freshness check. Use when the user asks if data is up to date, when a table was last updated, if data is stale, or needs to verify data currency before using it.

astronomer/agents · 44 tokens

yida-canvas-table-form

自定义页面表格批量录入技能。使用 YidaCodeCanvas 组件和 antd Table、Input、Select、DatePicker、React hooks 实现草稿、行级校验、分批并发提交和行级错误保留。YidaCodeCanvas 组件内不能直接调用 this.utils.yida.;写入默认消费发布层注入的 window.OPENYIDAYIDAAPI,提示、跳转等根级工具消费 window.OPENYIDAUTILS,也可走已验证连接器或同源业务桥,未验证时不得声称提交闭环。.

openyida/openyida · 141 tokens