Adversarial Prompting
v1.0.0Applies rigorous adversarial analysis to generate, critique, fix, and consolidate solutions for any problem (technical or non-technical). Use when facing complex problems requiring thorough analysis, multiple solution approaches, and validation of proposed fixes before implementation.
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by@abe238
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
OpenClaw
Suspicious
medium confidencePurpose & Capability
The skill's stated purpose (structured adversarial analysis) matches what the SKILL.md and the included export script do: generate detailed analysis and save it to disk. However, the SKILL.md expects the agent to run scripts/export_analysis.py but the skill does not declare any required runtime (e.g., Python) or binaries — a minor coherence gap that should be documented.
Instruction Scope
The runtime instructions direct the agent to (a) show full reasoning throughout (which effectively requests chain-of-thought/full inner reasoning), and (b) "automatically export the complete output" by running the included script. Asking the agent to reveal internal reasoning is broad and potentially disallowed by platform policies; automatically executing a local script and writing files are actions with side effects that should be explicitly declared and consented to. The instructions are otherwise specific about phases, but include open-ended phrases like "Be creative and thorough" that grant broad discretion.
Install Mechanism
No install spec or external downloads are present and the code bundle is small. The only file that performs I/O is scripts/export_analysis.py which writes a markdown file into the user's home directory. No remote endpoints, archive extraction, or third-party installs are requested.
Credentials
The skill requires no environment variables, credentials, or config paths. The only side effect is writing an output file to the user's home directory; no secrets are requested or referenced.
Persistence & Privilege
The skill is user-invocable and not set to always:true. It does not modify other skills or global agent settings. The included script creates a file in the user's home directory (no persistent service or background process), which is a limited, explainable level of filesystem access.
What to consider before installing
Before installing, consider the following:
- The SKILL.md tells the agent to run scripts/export_analysis.py to write a markdown file to your home directory. Make sure you're comfortable with that file being created and that the environment where the agent runs has Python available.
- The instructions explicitly ask the agent to "show reasoning throughout," which can cause the model to reveal detailed internal reasoning/chain-of-thought. If you do not want chain-of-thought exposed, remove or edit that instruction.
- There's a minor inconsistency: the skill expects executing a Python script but does not declare Python as a required binary. Confirm the runtime will provide Python or update the skill metadata to declare it.
- The included script itself is small and local (no network calls), but if you plan to run the skill in a shared or high-security environment, test it in an isolated workspace first and review/modify the export behavior (e.g., change output directory or disable automatic export).
- If any of the automatic behaviors (automatic file export, full reasoning display) are unacceptable, ask the author to provide a variant that only returns analysis in the agent response without executing local code or showing chain-of-thought.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.