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.
curl -O https://raw.githubusercontent.com/ptonlix/beeweave/main/.skills/wiki/beeweave-research/SKILL.mdgit clone --depth 1 https://github.com/ptonlix/beeweaveWrote 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.
[](https://agentmods.dev/skills/ptonlix/beeweave/beeweave-research)<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.
<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>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.
| Model | Per session | Once 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 |
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.
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
- Resolve config — follow the Config Resolution Protocol in
beeweave-core/SKILL.md(inline@nameoverride → walk up CWD for.env→~/.beeweave/config→ prompt setup). This givesBEEWEAVE_VAULT_PATHandBEEWEAVE_LINK_FORMAT(default:wikilink). - Read
$BEEWEAVE_VAULT_PATH/index.mdto understand what's already in the wiki — don't re-research things the wiki covers well - Read
$BEEWEAVE_VAULT_PATH/hot.mdif it exists — it surfaces recent context - Check
$BEEWEAVE_VAULT_PATH/references/research-config.mdif 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.
- 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)
- For each angle, run 2-3
WebSearchqueries using varied phrasing - For the top 2-3 results per angle, use
WebFetch(ordefuddle <url>if available — cleaner extraction) to get content - 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
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.
- 8d ago First seen · 242 lines · 91 tokens per session scan A b8b19c9ddc0c
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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