predicate-snapshotML-powered DOM pruning for 95% smaller browser prompts
Install via ClawdBot CLI:
clawdbot install rcholic/predicate-snapshotGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Accesses sensitive credential files or environment variables
process.env.OPENAISends data to undocumented external endpoint (potential exfiltration)
Report → https://github.com/predicate-systems/predicate-snapshot-skill/issuesCalls external URL not in known-safe list
https://predicate.systems/skills/snapshotAI Analysis
The skill's external API usage (predicate.systems) is consistent with its stated purpose of ML-powered DOM pruning, and the credential access (PREDICATE_API_KEY) is documented and optional for enhanced functionality. While the rule-based signals highlight potential concerns, the skill appears to be a legitimate performance optimization tool without evidence of hidden malicious instructions or credential harvesting.
Generated Mar 21, 2026
AI agents can use Predicate Snapshot to quickly identify and interact with key elements like 'Add to Cart' or 'Checkout' buttons on e-commerce sites, reducing token usage by 95% for faster, more reliable automation of purchase flows. This is ideal for testing or automating repetitive shopping tasks without noise from irrelevant page elements.
QA engineers and developers can integrate this skill into automated testing pipelines to capture clean DOM snapshots, enabling precise element interaction for functional testing. The ML-powered ranking ensures high-signal elements are prioritized, improving test accuracy and reducing false failures due to page clutter.
Data analysts can use Predicate Snapshot to efficiently extract structured data from dynamic web pages by focusing on actionable elements like links, buttons, and text fields. The reduced token count lowers costs and speeds up processing for large-scale scraping projects, especially with the local option for free usage.
Accessibility specialists can leverage this skill to quickly audit web pages by capturing pruned snapshots that highlight key interactive elements, helping identify issues like missing roles or text. The output format simplifies analysis compared to full accessibility trees, making audits more efficient.
Support teams can deploy AI agents with Predicate Snapshot to navigate customer portals, click buttons, or fill forms based on ranked elements, improving response times. The skill's ability to preserve actionable items ensures reliable automation for tasks like ticket management or account updates.
Predicate offers a free hobby tier with 500 credits per month, encouraging adoption, while charging for higher tiers (Builder at $19/mo, Pro at $49/mo) with increased credits. This model attracts individual developers and scales with teams needing more snapshots, generating recurring revenue from subscriptions.
For large organizations, Predicate provides custom enterprise plans with tailored credit limits and support, offering higher margins. This targets businesses with extensive automation needs, such as in e-commerce or software testing, where reliability and scale are critical.
The skill monetizes through API key usage, where each ML-powered snapshot consumes one credit. By offering local snapshots for free, it drives adoption while upselling users to paid tiers for better accuracy, creating a pay-per-use incentive that aligns with value delivery.
💬 Integration Tip
Start by using the local snapshot option for free testing, then integrate the API key for production to leverage ML ranking and maximize token reduction.
Scored Apr 19, 2026
Audited Apr 17, 2026 · audit v1.0
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