Skills/ClawHub/ocas-sift

ocas-sift@2.3.1

VERIFIED

Publisher claims: "Sift: web search, research synthesis, fact verification, entity extraction, and URL content extraction. The system's general research engine. Use for ANY task requiring web information: search, research, look up, investigate, find out, check if, fact check, compare, summarize, what is, how to, product recommendations, price checks, current events, or reading a specific URL. TRIGGER ON: any question requiring current web data, any "investigate/find out/check/look into" request, any product/price/recommendation query. Do NOT use browser for search (CAPTCHA'd on VPS). The `web_search` and `web_extract` MCP tools route to SearXNG automatically — for deep research, load this skill directly. Do not use for person-focused OSINT (use Scout) or image processing (use Look)." Observed in sandbox: no network, touches nothing outside the project, writes no memory.

Registry ClawHubPublisher indigokarasu · joined 4 days agoInstalls 1,332Last detonated 4d ago
$clawhub install ocas-sift
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Is [email protected] safe to install?

KillerSkills ran it in the KillerSkills honeypot sandbox (1 scenario) on 2026-10-30 and scored it 89/100 (Verified). It did what it claims and nothing else we could detect: no undeclared network egress, no credential reads, no persistent instruction writes. Summary: no network, touches nothing outside the project, writes no memory.

Behavior trace

Honeypot run · 0 s · 1 scenarios · 0 deviations
t+CategoryObserved action
0.0sprocessno install scripts in bundle
0.0sprocessscript backend runs setup only
0.0sprocessscript backend runs setup only

Static findings

MEDIUM
Python subprocess execution detectedtests/test_smoke.py:43 · Python subprocess execution detectedFix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.
AST05
MEDIUM
Python subprocess execution detectedscripts/webwright_runner.py:152 · Python subprocess execution detectedFix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.
AST05
MEDIUM
Python subprocess execution detectedtests/test_smoke.py:49 · Python subprocess execution detectedFix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.
AST05
MEDIUM
Python subprocess execution detectedtests/test_smoke.py:37 · Python subprocess execution detectedFix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.
AST05
HIGH
Persistence: instructs the agent to auto-load this skill in future sessionsSKILL.md:13 · Persistence: instructs the agent to auto-load this skill in future sessionsFix: Remove the text that addresses the agent rather than the reader; describe behavior, do not instruct.
AST01
HIGH
Persistence: instructs the agent to auto-load this skill in future sessionsSKILL.md:50 · Persistence: instructs the agent to auto-load this skill in future sessionsFix: Remove the text that addresses the agent rather than the reader; describe behavior, do not instruct.
AST01
MEDIUM
Python subprocess execution detectedtests/test_smoke.py:31 · Python subprocess execution detectedFix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.
AST05
MEDIUM
Python subprocess execution detectedtests/test_smoke.py:54 · Python subprocess execution detectedFix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.
AST05
ocas-sift@2.3.1 safety verdict: Verified 89/100 — KillerSkills