beeweave: Skill for Claude Code

.skills/wiki/beeweave-research/SKILL.md

beeweave-research is a skill for Claude Code, Codex from ptonlix/beeweave. It costs 91 tokens per session (2,043 once invoked), scanned A, original, MIT.

A research workflow that searches the web in multiple rounds, combines the findings, and saves structured results in an Obsidian wiki, a folder-based personal knowledge base.

In plain words
What is it for?
Use it to research a topic, check existing wiki coverage, synthesize sources, and file the findings as linked knowledge.
Why use it?
It organizes broad research and turns the results into reusable wiki knowledge instead of leaving them as scattered search results.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

This is ptonlix/beeweave's own configuration. It tells Claude Code and Codex how to work on beeweave itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything beeweave configures →

Reuse

Borrowing it

Nothing to install: this file belongs to ptonlix/beeweave. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/ptonlix/beeweave/main/.skills/wiki/beeweave-research/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/ptonlix/beeweave

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 beeweave-research

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/ptonlix/beeweave/beeweave-research"><img src="https://agentmods.dev/badge/skills/ptonlix/beeweave/beeweave-research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 91 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,043 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 $0.00091 $0.02043
Opus 5 $0.00046 $0.01022
Sonnet 5 $0.00018 $0.00409
Haiku 4.5 $0.00009 $0.00204

Measured 8d ago against content hash b8b19c9ddc0c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

beeweave-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 8d 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/wiki/beeweave-research/SKILL.md · 242 lines

How it starts

The opening of the file, as written. The whole thing — 242 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Wiki Research — Autonomous Multi-Round Research

You are running an autonomous research loop on a topic, synthesizing what you find, and filing the results into the Obsidian wiki as permanent knowledge.

Before You Start

  1. Resolve config — follow the Config Resolution Protocol in beeweave-core/SKILL.md (inline @name override → walk up CWD for .env~/.beeweave/config → prompt setup). This gives BEEWEAVE_VAULT_PATH and BEEWEAVE_LINK_FORMAT (default: wikilink).
  2. Read $BEEWEAVE_VAULT_PATH/index.md to understand what's already in the wiki — don't re-research things the wiki covers well
  3. Read $BEEWEAVE_VAULT_PATH/hot.md if it exists — it surfaces recent context
  4. Check $BEEWEAVE_VAULT_PATH/references/research-config.md if it exists — it may define source preferences, domains to skip, or confidence rules for this vault

When writing internal links in generated pages, apply the link format from beeweave-core/SKILL.md (Link Format section) using the BEEWEAVE_LINK_FORMAT value.

Confirm the research topic with the user if it's ambiguous. Then proceed.

Research Configuration (optional)

If references/research-config.md exists in the vault, read it and apply any rules it defines:

  • Source preferences (e.g., prefer academic sources, avoid certain domains)
  • Domains to skip
  • Confidence scoring adjustments
  • Topic-specific constraints

If the file doesn't exist, proceed with defaults.

Round 1 — Broad Survey

Goal: Get a wide map of the topic.

  1. Decompose the topic into 3-5 distinct angles (e.g., for "vector databases": what they are, when to use them, leading implementations, trade-offs, production gotchas)
  2. For each angle, run 2-3 WebSearch queries using varied phrasing
  3. For the top 2-3 results per angle, use WebFetch (or defuddle <url> if available — cleaner extraction) to get content
  4. From each fetched page, extract:
    • Key claims — what the source explicitly states
    • Concepts — ideas, terms, frameworks introduced
    • Entities — tools, people, organizations mentioned
    • Contradictions — places where sources disagree with each other

Read the full file on GitHub · 242 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. 8d ago First seen · 242 lines · 91 tokens per session scan A b8b19c9ddc0c

Subscribe to this mod's changes

beeweave-research is a skill published in the GitHub repository ptonlix/beeweave (6 stars, last pushed 1mo ago), licensed MIT. It adds 91 tokens to every session and 2,043 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 2026-08-31.

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