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 AbdullahMalik17/malikclaw --skill open-researchgit clone --depth 1 https://github.com/AbdullahMalik17/malikclawWrote 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/abdullahmalik17/malikclaw/open-research)<a href="https://agentmods.dev/skills/abdullahmalik17/malikclaw/open-research"><img src="https://agentmods.dev/badge/skills/abdullahmalik17/malikclaw/open-research.svg" alt="Measured on agentmods" 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 | $0.00025 | $0.00441 |
| Opus 5 | $0.00013 | $0.00220 |
| Sonnet 5 | $0.00005 | $0.00088 |
| Haiku 4.5 | $0.00003 | $0.00044 |
Grade A, and why
open-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 7d 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
Open Research 🦅
This skill enables autonomous research by combining search and fetching. Use this to go beyond simple queries—act as an investigator.
When to use (trigger phrases)
Use this skill when the user asks for:
- "Research the latest on [Topic]"
- "Find the documentation for [Library] and summarize it"
- "Look up the specs for [Hardware] and compare it with [Hardware]"
- "Investigate [Event/News] and give me a detailed report"
Core Workflow
- Search: Use
web_searchto find relevant links. - Fetch: Use
web_fetchto extract content from the most promising URLs. - Synthesize: Combine the extracted information into a high-signal report.
Examples
Deep Dive into a Project
# First find the repo/docs
web_search "MalikClaw GitHub repository"
# Then fetch the README or ARCHITECTURE
web_fetch "https://github.com/AbdullahMalik17/malikclaw/blob/main/README.md"
Technical Comparison
# Search for specs
web_search "Raspberry Pi 5 vs Orange Pi 5 specs"
# Fetch detailed benchmarks
web_fetch "https://example-benchmark-site.com/pi5-vs-opi5"
Proactive Investigation
If a search result seems incomplete, don't stop. Follow the links. If a site is blocked, try another source.
Best Practices
- Parallel Fetching: Fetch multiple URLs if the information is spread across sites.
- Context Management: Be selective with what you fetch to keep the context window lean and efficient (the "MalikClaw Way").
- Citations: Always cite your sources with
[Source Name](URL).
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.
- 7d ago First seen · 52 lines · 25 tokens per session scan A dbdde193b01d
open-research is a skill published in the GitHub repository AbdullahMalik17/malikclaw (15 stars, last pushed 11d ago), licensed MIT. It adds 25 tokens to every session and 441 once invoked, about $0.0001 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.
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