data-chatbots

data-chatbots is an Agent frameworks & building agents skill for AI agents, published by swyxio in the skills repository on GitHub. Skillspace rates data-chatbots F (45/100) and the safety scan rated it risky; the rating is based on static analysis only.

Design and implement AI copilots that analyze structured data and propose mutations for human approval (draft → apply), not direct writes. Covers prompting, multistep compound requests (remove + add in one turn), FIFO client queuing for long agent loops, validation, session memory, optimistic versioning UX, copilot panel/surface ergonomics (floating-dockable panel, summon-hotkey size state machine), LLM tracing/observability (OpenInference + OTLP session.id grouping, orphan-span fixes, human thumbs up/down feedback annotations), and test matrices. Use when building scheduling/admin chatbots, proposal workflows, human-in-the-loop agents, or reviewing aiebot-style features.

Grade
F
Quality
45 / 100
Safety
Risky
GitHub stars
144

Unproven: rated by static analysis only, not yet compared head-to-head.

Our two independent classifiers differ on this skill's category, so treat the placement as provisional.

This rating describes the version of the repository we crawled; it may have changed since.

Our review

Architecture
70 / 100
Maturity
Structured: ships references or scripts
Security scan
High-risk patterns
License
Not declared. Check the repository before reusing it.
Adoption
Adopted by 0 other repositories, in 0 collections

What the scanner flagged

  • instructs to hide actions from user
  • mentions secrets in text

Not checked yet

  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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