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gangtise-copilot

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
Heavy
Setup complexity
Guided setup
External API key
Required · Vendor-specific
Operating systems
Unspecified (assume cross-platform)
Runtime requirements
Python
Permissions
  • Read-only
  • Write / modify
  • Env read
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 gangtise-copilot.preview 
---
name: gangtise-copilot
description: One-command installer, credential configurator, and diagnostic layer for the full Gangtise (岗底斯投…
category: other
runtime: Python
---

# gangtise-copilot output preview

## PART A: Task fit
- Use case: One-command installer, credential configurator, and diagnostic layer for the full Gangtise (岗底斯投研) OpenAPI skill suite. This is the only section you need to read to go from zero to fully working Gangtise. Follow steps in order. requires Vendor-specific API key; runs on Python. Works with Claude Code, Cursor, Cline and 23 more..
- Inputs: target material, constraints, expected output, and acceptance criteria.
- Evidence boundary: follow “🚀 One-shot installation (complete flow) / Step 1 — Download this skill to your agent's skills directory / Step 2 — Register this skill with your agent” and do not present inference as author intent.

## PART B: Execution result
- **01** The card summarizes the use case; runtime output centers on “One-command installer, credential configurator, and diagnostic layer for the full Gangtise (岗底斯投研) OpenAPI skill suite. This is the only section you need to read to go from zero to fully working Gangtise. Follow steps in order. requires Vendor-specific API key; runs on Python. Works with Claude Code, Cursor, Cline and 23 more.”.
- **02** When the source has headings, the agent prioritizes “🚀 One-shot installation (complete flow) / Step 1 — Download this skill to your agent's skills directory / Step 2 — Register this skill with your agent” 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, read environment variables; may access external network resources; requires Vendor-specific API keys.

## Running Rules
- read files, write/modify files, read environment variables; may access external network resources; requires Vendor-specific API keys.
- 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: One-command installer, credential configurator, and diagnostic layer for the full Gangtise (岗底斯投研) OpenAPI skill suite. This is…
  • 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 “🚀 One-shot installation (complete flow)”, “Step 1 — Download this skill to your agent's skills directory”, “Step 2 — Register this skill with your agent”, “Step 3 — Install all 19 Gangtise official skills”, 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 gangtise-copilot 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 “🚀 One-shot installation (complete flow) / Step 1 — Download this skill to your agent's skills directory / Step 2 — Register this skill with your agent” before expanding.

Boundaries And Review

  • Dependencies: Prepare Vendor-specific API keys before running a full task.
  • Permissions: Declared permissions include read / write / env-read; 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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