deep-research

deep-research is a skill for Claude Code from attentiondotnet/davidondrej-skills. It costs 123 tokens per session (1,027 once invoked), scanned A, original, MIT.

A tool for sending a carefully structured research question to DeepAPI, an online research service, and saving the cited answer as a Markdown report.

In plain words
What is it for?
Use it to research a topic through DeepAPI and produce a source-backed report. It requires a DeepAPI API key.
Why use it?
It turns a broad request for deep research into one complete query and keeps the sources with the resulting report.

Skill for Claude Code

Written for Claude Code: disable-model-invocation in frontmatter. Also seen: positional $N argument.

Good fit Use it to research a topic through DeepAPI and produce a source-backed report. It requires a DeepAPI API key.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/attentiondotnet/davidondrej-skills/deep-research
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 attentiondotnet/davidondrej-skills --skill deep-research
Clone the repo
git clone --depth 1 https://github.com/attentiondotnet/davidondrej-skills

Made for: Claude Code.

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

README.md
[![agentmods](https://agentmods.dev/badge/skills/attentiondotnet/davidondrej-skills/deep-research/github.svg)](https://agentmods.dev/skills/attentiondotnet/davidondrej-skills/deep-research)
Your own site
<a href="https://agentmods.dev/skills/attentiondotnet/davidondrej-skills/deep-research"><img src="https://agentmods.dev/badge/skills/attentiondotnet/davidondrej-skills/deep-research/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 deep-research

Your own site · 80×15
<a href="https://agentmods.dev/skills/attentiondotnet/davidondrej-skills/deep-research"><img src="https://agentmods.dev/badge/skills/attentiondotnet/davidondrej-skills/deep-research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 123 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,027 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. 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 $0.00123 $0.01027
Opus 5 $0.00062 $0.00513
Sonnet 5 $0.00025 $0.00205
Haiku 4.5 $0.00012 $0.00103

Measured 11d ago against content hash 3c6ea969a410, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

deep-research 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 11d 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.

curl -s --max-time 120 "$BASE/v1/research/deep" \
skills/research-and-web/deep-research/SKILL.md · 74 lines

How it starts

The opening of the file, as written. The whole thing — 74 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Deep Research (via DeepAPI)

We use DeepAPI (deepapi.co) for all deep research. This fully replaced the retired perplexity-deep-research skill that called OpenRouter/Perplexity directly.

API key

  • Key lives in ~/.zshrc as DEEPAPI_API_KEY.
  • Gotcha: do NOT source ~/.zshrc — it breaks the shell (exit 126). Use the env var if set, else read just the key line:
KEY=${DEEPAPI_API_KEY:-$(rg -o 'DEEPAPI_API_KEY=\S+' ~/.zshrc | head -1 | cut -d= -f2)}
BASE=${DEEPAPI_API_BASE_URL:-https://deepapi.co}
  • Key missing → stop and ask the user. Never print or log the key.

Step 1 — Build the research prompt

Write ONE self-contained paragraph following the research-prompt skill:

  • Lead with the single question + the decision/end use it informs.
  • Embed all context — no back-and-forth needed.
  • Number 3-6 inline sub-questions (1, 2, 3…). One mission per prompt.
  • State include/avoid constraints; prefer primary sources; separate fact from inference.

Field limits: query ≤ 4000 chars (the paragraph goes here), optional context ≤ 8000, optional instructions ≤ 2000. Do NOT pass model or provider fields — the API rejects provider controls.

Step 2 — Run it

One call = one cited answer (~700 words max, finishes or fails within ~60s server-side).

IDK=$(uuidgen)   # keep this; retries must reuse the SAME Idempotency-Key
jq -n --rawfile p /tmp/dr_prompt.txt '{query:$p, maxCostUsd:"0.10"}' > /tmp/dr_body.json
curl -s --max-time 120 "$BASE/v1/research/deep" \
  -H "Authorization: Bearer $KEY" \
  -H "Content-Type: application/json" \
  -H "Idempotency-Key: $IDK" \
  -d @/tmp/dr_body.json > /tmp/dr_result.json

Default spend cap is maxCostUsd: "0.10" per call; raise it only if the user approves.

Step 3 — Read the report + sources

jq -r '.status'                    /tmp/dr_result.json   # succeeded | failed
jq -r '.output.answer'             /tmp/dr_result.json   # the report
jq -r '.output.sources[]?.url'     /tmp/dr_result.json   # source URLs
jq -r '.debitMicrousd'             /tmp/dr_result.json   # cost in micro-USD (100000 = $0.10)

Read the full file on GitHub · 74 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. 11d ago First seen · 74 lines · 0 tokens per session scan A 3c6ea969a410

Subscribe to this mod's changes

deep-research is a skill published in the GitHub repository attentiondotnet/davidondrej-skills (11 stars, last pushed 2mo ago), licensed MIT. It adds 123 tokens to every session and 1,027 once invoked, about $0.0006 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 2026-08-31.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

insight-error-page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…

vercel/next.js · 83 tokens

next-cache-components-optimizer

Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…

vercel/next.js · 170 tokens

next-partial-prefetching-adoption

Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…

vercel/next.js · 103 tokens