CtrlK
BlogDocsLog inGet started
Tessl Logo

fastgpt-docker-deploy

FastGPT Docker Compose self-hosting deployment workflow. Use when a user asks an AI agent to deploy FastGPT with Docker by referencing /deploy/SKILL.md, including creating an empty fastgpt directory, running the install script in non-interactive mode, starting Docker Compose, monitoring service health, troubleshooting compose issues, and returning the access URL plus root credentials and next steps.

72

Quality

88%

Does it follow best practices?

Run evals on this skill

Adds up to 20 points to the overall score

View guide

SecuritybySnyk

Passed

No findings from the security scan

SKILL.md
Quality
Evals
Security

Quality

Content

85%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

The body is highly actionable with a clear, validated deployment workflow and concrete troubleshooting, respecting Claude's intelligence. It would benefit from splitting the long env-var and port reference material into a separate reference file for better progressive disclosure.

Suggestions

Move the optional-override env vars and the port/default tables into a references/ file (e.g. CONFIG.md) and link to it from the deployment step, keeping SKILL.md as a lean overview.

Tighten the S3/preview proxy explanatory prose to the minimum needed, since much of it concerns legacy v4.14 paths.

Consider a short 'Validation checklist' summarizing the healthy-state and curl-verification gates so the feedback loop is scannable at a glance.

DimensionReasoningScore

Conciseness

Mostly lean and command-driven, assuming Claude's competence, with occasional explanatory prose around optional env vars and S3/preview notes that could be trimmed slightly.

4 / 5

Actionability

Provides fully executable bash commands for every stage (environment check, directory creation, install script, compose up, health monitoring, curl verification) plus concrete env-var overrides covering common cases.

5 / 5

Workflow Clarity

Six clearly sequenced steps with explicit validation checkpoints (environment check, non-empty-directory guard, service health monitoring, curl access verification) and a troubleshooting section with feedback loops for error recovery.

5 / 5

Progressive Disclosure

No bundle files are provided, so all reference-like content (the optional-overrides env-var list, port tables) is inlined in a single ~120-line file with good section headers but no one-level-deep references to split out the bulk.

3 / 5

Total

17

/

20

Passed

Description

92%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

The description is specific, complete, and distinct, explicitly pairing concrete deployment actions with an explicit 'Use when' trigger. Its only gap is slightly narrow trigger-term coverage that omits common user phrasings and synonyms.

Suggestions

Broaden the trigger clause to capture natural variations users might say, e.g. 'self-host FastGPT', 'install FastGPT locally', or 'set up FastGPT with Docker Compose'.

Consider dropping the narrow 'by referencing /deploy/SKILL.md' qualifier from the trigger so it reflects how a user would actually phrase the need.

DimensionReasoningScore

Specificity

Names the domain (FastGPT Docker Compose self-hosting) and lists six concrete actions ('creating an empty fastgpt directory, running the install script in non-interactive mode, starting Docker Compose, monitoring service health, troubleshooting compose issues, and returning the access URL plus root credentials and next steps'), giving comprehensive coverage.

5 / 5

Completeness

Clearly answers both 'what' (the deployment workflow with enumerated actions) and 'when' ('Use when a user asks an AI agent to deploy FastGPT with Docker'), with concrete trigger phrasing.

5 / 5

Trigger Term Quality

Includes a natural trigger phrase ('Use when a user asks an AI agent to deploy FastGPT with Docker') but is fairly narrow, missing common synonyms and variations users might naturally phrase.

4 / 5

Distinctiveness Conflict Risk

Targets a specific product (FastGPT) via a specific method (Docker Compose self-hosting), carving a clear niche with minimal overlap risk against other skills.

5 / 5

Total

19

/

20

Passed

Validation

100%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
labring/FastGPT
Reviewed

Table of Contents

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.