Deep Thinking
v1.0.0Comprehensive deep reasoning framework that guides systematic, thorough thinking for complex tasks. Automatically applies for multi-step problems, ambiguous...
⭐ 4· 3.4k·29 current·32 all-time
byAman Kumar@amankr-novo
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
OpenClaw
Benign
high confidencePurpose & Capability
The name/description match the provided SKILL.md and reference guidance. The skill is instruction-only and does not request unrelated binaries, environment variables, or config paths — all requirements are proportionate to a reasoning/protocol skill.
Instruction Scope
The runtime instructions direct the agent to adopt an explicit 'inner monologue' style (phrases like "Hmm...", "Hold on...", course corrections, showing thinking steps) and to keep multiple hypotheses active. While consistent with a 'deep thinking' framework, this explicitly asks the agent to surface chain-of-thought-like content and to be exploratory and verbose; it does not, however, instruct the agent to read files, access credentials, or transmit data to external endpoints.
Install Mechanism
No install spec and no code files that would be written to disk — the skill is purely instruction-only, which minimizes install-time risk.
Credentials
The skill requires no environment variables, credentials, or config paths. There is no disproportionate credential or environment access requested.
Persistence & Privilege
always is false and there is no request to modify other skills or system-wide config. The skill is user-invocable and can be invoked autonomously by the agent (default platform behavior), which is expected for skills of this type.
Assessment
This skill is internally consistent and low-risk because it only contains instructions and asks for no credentials or installs. The main thing to decide is whether you want the agent to surface an explicit inner monologue and verbose, exploratory reasoning in its outputs — the skill encourages chain-of-thought-style phrasing and course corrections, which can be noisy or reveal intermediate assumptions you might prefer not to expose. If you prefer concise or policy-compliant outputs, either avoid invoking this skill or instruct it to provide only final summaries (or set the skill/invocation policy to prevent autonomous use).Like a lobster shell, security has layers — review code before you run it.
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License
MIT-0
Free to use, modify, and redistribute. No attribution required.