install-then-update-trap-detectorHelps detect the install-then-update attack pattern — where a skill passes initial security review cleanly, then silently introduces malicious behavior throu...
Install via ClawdBot CLI:
clawdbot install andyxinweiminicloud/install-then-update-trap-detectorGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated Mar 21, 2026
AI agent marketplaces can use this skill to audit third-party skills for install-then-update attack patterns, ensuring that updates do not introduce malicious behavior post-review. This helps maintain platform trust by detecting skills that exploit automatic updates to bypass security checks, protecting end-users from backdoors.
Large enterprises deploying AI agents for internal automation can integrate this skill to monitor installed skills for unauthorized updates and permission expansions. It helps IT security teams identify risks in skills that update automatically, preventing data exfiltration or credential harvesting from deferred malice attacks.
Organizations in regulated industries like finance or healthcare can use this skill to ensure AI skills comply with security standards by verifying update chains and detecting undeclared behavioral changes. It aids in audit trails by flagging skills with suspicious timing or broken cryptographic custody, supporting compliance reports.
Maintainers of open-source AI projects can employ this skill to assess dependencies for install-then-update risks, ensuring that updates from third-party skills do not compromise project integrity. It helps detect skills with poor update transparency or rollback feasibility, reducing supply chain attacks.
Security teams responding to AI agent incidents can use this skill to analyze compromised skills by comparing versions for behavioral deltas and chain-of-custody breaks. It speeds up forensic investigations by identifying if an attack originated from a post-install update, aiding in recovery and mitigation.
Offer this skill as part of a cloud-based security platform where users pay a monthly fee to scan and monitor their AI skills for install-then-update traps. Revenue comes from tiered subscriptions based on the number of skills or agents monitored, with premium features like real-time alerts.
Sell enterprise licenses to large organizations for integrating this skill into their internal AI agent ecosystems, with custom support and integration services. Revenue is generated through one-time licensing fees and annual maintenance contracts, targeting businesses with high security needs.
Partner with AI agent marketplaces to embed this skill as a default security tool, earning revenue through a share of marketplace transactions or premium listing fees for verified skills. This model leverages platform scale to monetize by enhancing overall marketplace trust and safety.
💬 Integration Tip
Integrate this skill by providing skill identifiers or version comparisons as input; ensure access to update logs and behavioral data for accurate delta assessments.
Scored Jun 19, 2026
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