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.
npx skills add tao12345666333/ankaloop --skill networked-researchgit clone --depth 1 https://github.com/tao12345666333/ankaloopWrote 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/tao12345666333/ankaloop/networked-research)<a href="https://agentmods.dev/skills/tao12345666333/ankaloop/networked-research"><img src="https://agentmods.dev/badge/skills/tao12345666333/ankaloop/networked-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/tao12345666333/ankaloop/networked-research"><img src="https://agentmods.dev/badge/skills/tao12345666333/ankaloop/networked-research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00069 | $0.00285 |
| Opus 5 | $0.00034 | $0.00143 |
| Sonnet 5 | $0.00014 | $0.00057 |
| Haiku 4.5 | $0.00007 | $0.00028 |
Grade A, and why
networked-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 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.
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.
What it actually says
Networked Research
Use live web access when local context is not enough.
Prefer the built-in web tools
- Use
web_searchfor internet discovery, current docs, release notes, API references, and unknown technologies. - Use
web_fetchto read a specific URL after you already know the page you need. - These tools work out of the box and do not require the user to configure a search MCP server.
When to search vs fetch
- Search first when the exact page is unknown.
- Fetch directly when the user gives you a URL or when search already surfaced the right page.
- After searching, fetch the most relevant result if you need details rather than snippets.
Working style
- Search with a focused query.
- Narrow by domain when the user wants official docs or a known website.
- Fetch the most relevant page or pages.
- Base your answer or implementation on the fetched content, not on stale model memory.
- Mention uncertainty if the web results conflict or look incomplete.
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.
- 11d ago First seen · 29 lines · 69 tokens per session scan A adb35faf763b
networked-research is a skill published in the GitHub repository tao12345666333/ankaloop (48 stars, last pushed 12d ago), licensed Apache-2.0. It adds 69 tokens to every session and 285 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 2026-08-30.
Other skills, from other repositories
review
Review a change for correctness, security, and missing tests.
repo-hygiene
Use when the scheduled repo-hygiene workflow runs from GitHub Actions (or an operator dry-run) to scan the repository for small, certain docs/test/code hygiene issues and fix them as one batched branch.
cw-gates
Use before claiming any Codewhale change is done, green, or ready to land: the focused-to-broad verification ladder, the budget checks CI enforces, and the rules for what counts as a passing test.
recording
Capture screenshots on registered computers, record on macOS or HarmonyOS, and manage saved captures. Probe capabilities before recording.
feishu
Work with Feishu or Lark bots, docs, sheets, bitables, approval flows, and OpenAPI/MCP setup without hardcoding credentials.
document
Skill "document" from Hmbown/Codewhale, covering document, when to use, non-goals and workflow.