deepsearch

deepsearch is a skill for Codex from dajiaohuang/shuiyuan-mcp. It costs 65 tokens per session (828 once invoked), scanned A, original, MIT.

A deep-research workflow for investigating questions across sources such as the web, local files, GitHub, and connected services.

In plain words
What is it for?
Use it for thorough research, source comparison, fact verification, tracing claims, and summarising findings with confidence levels and caveats.
Why use it?
It helps turn a broad question into focused searches, check claims against reliable evidence, look for contradictions, and keep track of what each source proves.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit Use it for thorough research, source comparison, fact verification, tracing claims, and summarising findings with confidence levels and caveats.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/dajiaohuang/shuiyuan-mcp/deepsearch
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 dajiaohuang/shuiyuan-mcp --skill deepsearch
Clone the repo
git clone --depth 1 https://github.com/dajiaohuang/shuiyuan-mcp

Made for: 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 deepsearch

README.md
[![agentmods](https://agentmods.dev/badge/skills/dajiaohuang/shuiyuan-mcp/deepsearch/github.svg)](https://agentmods.dev/skills/dajiaohuang/shuiyuan-mcp/deepsearch)
Your own site
<a href="https://agentmods.dev/skills/dajiaohuang/shuiyuan-mcp/deepsearch"><img src="https://agentmods.dev/badge/skills/dajiaohuang/shuiyuan-mcp/deepsearch/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 deepsearch

Your own site · 80×15
<a href="https://agentmods.dev/skills/dajiaohuang/shuiyuan-mcp/deepsearch"><img src="https://agentmods.dev/badge/skills/dajiaohuang/shuiyuan-mcp/deepsearch.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 65 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 828 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 $0.00065 $0.00828
Opus 5 $0.00032 $0.00414
Sonnet 5 $0.00013 $0.00166
Haiku 4.5 $0.00006 $0.00083

Measured 12d ago against content hash c99a22d40e62, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

deepsearch 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 12d 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.

skills/deepsearch/SKILL.md · 87 lines

How it starts

The opening of the file, as written. The whole thing — 87 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Deepsearch

Use this skill to turn a broad question into a structured investigation. Prefer evidence over speed, but keep the work bounded and visible.

Operating Mode

  1. Start with a short research frame unless the user asked for silent execution:
    • Target question
    • Scope boundaries
    • 2-5 subquestions
    • Likely source classes
  2. Search in passes. After each pass, update the working hypothesis and the next best query.
  3. Keep a compact evidence ledger in your notes: claim, source, date, reliability, what it proves, what it does not prove.
  4. Stop when the answer is supported by enough independent evidence for the stakes, or when further search is unlikely to change the result.
  5. Present conclusions with confidence and caveats, not a pile of links.

Search Passes

Run at least two passes for nontrivial tasks:

  • Pass 1: orientation. Identify names, dates, vocabulary, canonical sources.
  • Pass 2: verification. Search exact phrases, official docs, source code, issue trackers, primary records, or archives.
  • Optional pass 3: adversarial check. Search for contradictions, failure cases, criticism, or newer updates.

For research that may affect money, health, law, safety, or current decisions, verify against current primary sources.

Tool Routing

  • Use web search for public or current facts; browse when information may have changed, primary sources matter, or the user asks for links.
  • Use repo/local search (rg, file reads, tests) for codebase and document investigations.
  • Use GitHub tools for issues, PRs, releases, and repository metadata when available.
  • Use domain MCPs when relevant, such as mcp__shuiyuan__ for Shuiyuan topics and posts. For Shuiyuan-heavy research, read references/shuiyuan-mcp.md to reduce forum requests.
  • Use browser automation only when page state, login, screenshots, or interactive inspection matters.

Evidence Hygiene

  • Do not rely on a single secondary source for important claims.
  • Prefer primary sources, then reputable secondary sources, then community reports.
  • Prefer exact dates over relative dates.
  • Distinguish facts from inference.
  • Track source freshness; stale docs and old forum answers may be superseded.
  • Avoid over-quoting; summarize instead.
  • If a source cannot be opened, say so and do not pretend to have read it.
  • When using local files, cite absolute file paths with line numbers when useful.

Read the full file on GitHub · 87 lines

Files

What ships with it

5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 12d ago First seen · 87 lines · 65 tokens per session scan A c99a22d40e62

Subscribe to this mod's changes

deepsearch is a skill published in the GitHub repository dajiaohuang/shuiyuan-mcp (2 stars, last pushed 2mo ago), licensed MIT. It adds 65 tokens to every session and 828 once invoked, about $0.0003 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 2026-08-31.

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