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bilibili-source

Other Community
Fluxly profile Facts only: domain, agents, trust score, runtime, permissions and network
Domain
Other
Compatible agents
  • Claude Code
  • Cursor
  • Cline
  • Codex
  • Windsurf
  • Gemini CLI
  • +20
Trust score
88 / 100 · community maintained
Author / version / license
@daymade · no license declared
Token usage
Lean
Setup complexity
Guided setup
External API key
Not required
Operating systems
Unspecified (assume cross-platform)
Runtime requirements
No special requirements
Permissions
  • Read-only
  • Write / modify
  • Shell exec
Network behavior
External requests
Install commands
26 variants

Profile is derived at build time from SKILL.md and install vectors. Subject to drift from author intent.

Heads up: 未限定 allowed-tools，默认拥有全部工具权限。

Output preview bilibili-source.preview 
---
name: bilibili-source
description: Fetch real, verifiable data for a Bilibili video so you can cite it instead of guessing. Engagem…
category: other
runtime: no special runtime
---

# bilibili-source output preview

## PART A: Task fit
- Use case: Fetch real, verifiable data for a Bilibili video so you can cite it instead of guessing. Engagement numbers are the backbone of any honest "why did this do well" analysis, and hand-typed or estimated numbers are the fastest way a knowledge base rots. This skill makes the numbers cheap to fetch — so there is no excuse to invent them. makes outbound network….
- Inputs: target material, constraints, expected output, and acceptance criteria.
- Evidence boundary: follow “Quick start / Scripts / Rules that keep the data honest” and do not present inference as author intent.

## PART B: Execution result
- **01** The card summarizes the use case; runtime output centers on “Fetch real, verifiable data for a Bilibili video so you can cite it instead of guessing. Engagement numbers are the backbone of any honest "why did this do well" analysis, and hand-typed or estimated numbers are the fastest way a knowledge base rots. This skill makes the numbers cheap to fetch — so there is no excuse to invent them. makes outbound network…”.
- **02** When the source has headings, the agent prioritizes “Quick start / Scripts / Rules that keep the data honest” so the result follows the author’s structure.
- **03** Typical output includes task judgment, concrete steps, required commands or file edits, validation, and follow-up options.
- **04** Risk context follows the fingerprint: read files, write/modify files, run shell commands; may access external network resources; usually needs no extra API key.

## Running Rules
- read files, write/modify files, run shell commands; may access external network resources; usually needs no extra API key.
- Validate with a small sample before expanding scope.
- Return the result, validation criteria, and next iteration options.
Interpretation is structured for decision-making; original keeps the upstream SKILL.md unchanged.

Decide Fit First

  • Core job: Fetch real, verifiable data for a Bilibili video so you can cite it instead of guessing. Engagement numbers are the backbone of…
  • Best fit: Use it when the task has reusable inputs, steps, and validation criteria rather than a one-off answer.
  • Avoid forcing it: If the source lacks commands, platform support, or external-service evidence, keep those fields unknown instead of guessing.

Design Intent

  • Structure: The skill is organized around “Quick start”, “Scripts”, “Rules that keep the data honest”, “Subtitles require login (no bypass)”, showing how the author expects the agent to judge fit, collect context, and produce verifiable output.
  • Trigger evidence: Prioritize the author’s wording around when to use it, what context to collect, and what output shape to produce.
  • Evidence boundary: Author text states facts, repository files prove commands and paths, and Fluxly only adds fit, limits, and usage judgment.

How To Use It

  • Inputs: Provide target material, scope, expected result, forbidden changes, and validation method.
  • Invocation: Name bilibili-source directly; if the source includes slash commands, start with the command and then add task context.
  • Validation: Start small and check whether the result follows “Quick start / Scripts / Rules that keep the data honest” before expanding.

Boundaries And Review

  • Dependencies: It usually needs no extra API key, so start with a small validation task.
  • Permissions: Declared permissions include read / write / shell-exec; ask the agent to state file, command, and rollback boundaries before acting.
  • Quality bar: A useful result names the deliverable, evidence, and next action. Generic prose means the task needs tighter context.

Discussion

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