Borrowing it
Nothing to install: this file belongs to WingedGuardian/GENesis-AGI. 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/WingedGuardian/GENesis-AGI/main/.claude/skills/web-research/SKILL.mdgit clone --depth 1 https://github.com/WingedGuardian/GENesis-AGIWrote 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/wingedguardian/genesis-agi/web-research)<a href="https://agentmods.dev/skills/wingedguardian/genesis-agi/web-research"><img src="https://agentmods.dev/badge/skills/wingedguardian/genesis-agi/web-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/wingedguardian/genesis-agi/web-research"><img src="https://agentmods.dev/badge/skills/wingedguardian/genesis-agi/web-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 | $0.00068 | $0.00886 |
| Opus 5.5 | $0.00027 | $0.00354 |
| Sonnet 5.5 | $0.00014 | $0.00177 |
| Haiku 4.5 | $0.00007 | $0.00089 |
Grade A, and why
web-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 6d 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 — 39 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Web Research
Frame the decision
State the question, the decision it informs, the required freshness, and what would count as enough evidence. Choose the lightest depth that can answer it:
- Focused: one narrow claim or known source. Verify directly and stop.
- Substantial: several claims, unfamiliar subject matter, comparison, or recommendation. Decompose into independent questions and synthesize them.
- Exhaustive: high-consequence or broad landscape work. Add coverage tracking, competing explanations, and a final gap pass.
Depth follows the task. Do not add an extra pass merely because the word “research” appears.
Gather evidence
- Decompose substantial work into questions whose results can be checked independently. Parallelize only independent searches; follow-ups that depend on an earlier result stay sequential.
- Search with
web_search, then fetch the sources that carry the actual claim withweb_fetch. Use browser tools only when interaction or rendered state is necessary. - For software capability questions, search for existing implementations before proposing a build. Use
recon_github_searchfor public repositories and issues, thenrecon_github_readto inspect repository metadata, trees, and source. Repository search accepts GitHub query syntax; issue search treatsqueryas literal text and exposes repository, state, and labels as structured filters. GitHub's code-search API requires credentials, so public-only research must discover candidate repositories first and inspect their trees/files rather than silently inheriting operator access. When the capability could run inside a Claude Code session (a hook or guard, status line, prompt or context injection, tool interception, notifications, an in-terminal pane), also search Claude Code mods and plugins: themod-finderplugin'ssearch_modstool if installed, otherwise the catalogue athttps://raw.githubusercontent.com/karanb192/awesome-claude-code-mods/main/catalogue.md, plus Anthropic's directory (https://raw.githubusercontent.com/anthropics/claude-plugins-official/main/.claude-plugin/marketplace.json, reachable withweb_fetchfrom any session). Record each candidate's access footprint and the CC version it validates on; mods run unsandboxed. A background session cannot search the community catalogue yet (#3321): report that gap rather than "no mod exists". When the foreground/evaluatecommand is available, apply it for the final adopt/adapt/build comparison. In background sessions, perform that comparison directly: assess how each candidate helps, does not help, could help through adaptation, and what Genesis can learn from it; then classify it as adopt, adapt, learn from, or build. - Prefer primary sources for product behavior, specifications, code, pricing, and current policy. Use strong secondary sources for context or independent testing. A primary source can establish its own documented behavior; independent corroboration matters when incentives, interpretation, or real-world performance are disputed.
- Record the URL, publication or update date when relevant, the exact claim supported, and limits or conflicts. A search snippet is a lead, not evidence.
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.
- 6d ago Changed 533d0c67832e
- 1mo ago First seen · 39 lines · 68 tokens per session scan A 56abf7a07508
web-research is a skill published in the GitHub repository WingedGuardian/GENesis-AGI (99 stars, last pushed today), licensed MIT. It adds 68 tokens to every session and 886 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-09-13.
Other skills, from other repositories
search
Unified academic paper search, citation chains, paper download (arXiv LaTeX/PDF, Sci-Hub), figure extraction from papers, LaTeX source reading, BibTeX fetching, web search, and browser automation for Cloudflare-protected sites (PRL, Science, Nature, Google Scholar).
qec-construct
Verifier-in-the-loop CONSTRUCTION of quantum error-correcting codes with transversal non-Clifford gates (CCZ/T). Applies whenever the project goal is a new or better code/construction — INCLUDING search-phrased goals ("find codes beating X"), where the construct-loop (propose algebraic rule → qverify → debug) is the…
memory
Cross-project research memory. Deep-dive past projects' notes and record corrections across all Luxas research projects.
paper-figures
Extract figures from downloaded papers and include them in survey/review reports. Use when the report covers other groups' work and benefits from their architecture diagrams, experimental plots, or system schematics. Your brain prompt supplies the absolute path to the extract-figures script as {{EXTRACTFIGURES}} — use…
compute-methods
Friction sheets for field-standard computational tools and simulators (frictions, smoke tests, how to measure a saved model). Injected at spawn time.
brain-ai-memory
Save, correct and recall project facts, exact state and session handoffs through Brain-AI Memory MCP when it is connected, or set up a project-local connection when requested.