Research Cog
ReviewAudited by ClawScan on May 1, 2026.
Overview
This instruction-only research skill is coherent, but users should know it sends research prompts to CellCog and uses a CellCog API key and remote agent/team workflows.
This appears aligned with its stated purpose. Before installing, make sure you trust CellCog, use a revocable API key, and do not submit confidential research prompts unless CellCog's data handling terms are acceptable to you.
Findings (4)
Artifact-based informational review of SKILL.md, metadata, install specs, static scan signals, and capability signals. ClawScan does not execute the skill or run runtime probes.
Using the skill may consume CellCog account credits or access capabilities tied to the API key.
The skill requires a CellCog API key, which is expected for using the CellCog service but gives the skill/provider access to the user's CellCog account authorization.
requires:
bins: [python3]
env: [CELLCOG_API_KEY]Use a dedicated, revocable CellCog API key with the minimum access available, and rotate or revoke it if you stop using the skill.
Sensitive business, investment, academic, or due-diligence prompts may be processed by the external CellCog service and remote agent workflow.
The documented workflow sends the user's prompt to CellCog and can notify the OpenClaw session asynchronously, so research inputs and outputs cross a provider/session boundary.
result = client.create_chat(
prompt="[your task prompt]",
notify_session_key="agent:main:main",
task_label="my-task",
chat_mode="agent",
)Avoid including confidential material unless you are comfortable with CellCog processing it, and review CellCog's privacy, retention, and data-use terms.
The safety and behavior of actual execution depends on the external CellCog SDK/service and referenced skill, not just this SKILL.md file.
The skill is instruction-only and delegates functionality to the external CellCog dependency and a separate cellcog skill/SDK reference.
dependencies: [cellcog] ... For your first CellCog task in a session, read the **cellcog** skill for the full SDK reference
Install CellCog only from trusted sources and review the separate cellcog skill or SDK documentation before using it for sensitive research.
A research task may keep running remotely and later notify the session rather than completing immediately.
The skill documents an asynchronous fire-and-forget workflow, which is disclosed and purpose-aligned for long-running research but may continue remotely after the initial call.
**OpenClaw (fire-and-forget):** ```python result = client.create_chat(
Use clear task labels, monitor long-running jobs, and avoid starting broad or expensive research tasks unintentionally.
