skill-grepUse when a user is trying to discover an installable or reusable skill or workflow, especially when they ask for a skill for a task, want to compare nearby s...
Install via ClawdBot CLI:
clawdbot install littledinoc/skill-grepGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://skills.megatechai.com/`Audited Apr 18, 2026 · audit v1.0
Generated Oct 7, 2026
A user asks an AI agent for a skill to automate CRM follow-ups. The agent builds a structured query, calls /search_multi_field, and returns 1-3 relevant skill candidates. If the top results diverge between outreach tooling and pipeline analytics, it asks one clarifying question and runs a second retrieval pass before recommending.
A developer wants to compare nearby skill categories for code review, refactoring, and test generation. The skill validates the search response contract, ranks candidates by final_score, and submits session-level thumb_up feedback once the user selects a skill.
A support operations lead asks for an installable skill that classifies and routes support tickets. The agent translates a non-English query into English for the payload while keeping origin_query intact, then recommends top matches and captures feedback after verdict.
A marketer needs a workflow to turn long-form content into social posts and newsletters. The skill sends query_fields with description as the strongest signal, limits retrieval to two passes, and never skips the /feedback call after the user verdict.
An analyst searches for a skill to summarize competitor filings but gets split results between data extraction and narrative synthesis. The agent asks exactly one targeted clarification, reuses the same retrieval_session_id with round=2, and links parent_search_id to the first pass.
Platforms pay per search or per feedback event against the /search_multi_field and /feedback endpoints. Pricing scales with retrieval volume and telemetry retention. Suitable for teams that want to embed skill discovery into their own copilots.
Organizations subscribe for private, curated access to installable skills with session-level telemetry tied to internal user identities. Feedback data improves ranking relevance across the tenant. Adds governance and consent controls for stored telemetry.
Skill authors and repositories pay for promoted placement or analytics on weekly_installs_num and conversion from retrieval to install. Revenue shares align publishers with high final_score recommendations. Feedback loops drive quality improvements publishers can monetize.
💬 Integration Tip
Wire both endpoints behind a single session manager that generates retrieval_session_id once, enforces the two-pass limit, and persists search_id for parent linking. Validate search_id, retrieval_session_id, and results shape before rendering any recommendation to avoid silent contract failures.
Scored Oct 7, 2026
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