AC gingiris-social-content
🇺🇸 Social Media Content — Multi-platform distribution for startups. Create and distribute content across Twitter/X, LinkedIn, Reddit, HackerNews, Product Hunt, and more. Platform-specific format optimization, thread writing, community engagement tactics, posting schedules, Reddit karma building, and HN submission best practices. 🇨🇳 社交媒体内容 — 创业公司多平台分发。Twitter/X、LinkedIn、Reddit、HackerNews、Product Hunt 等平台内容创作与分发。平台格式优化、Twitter Thread 写作、社区互动策略、发布时间表。 🇯🇵 ソーシャルメディアコンテンツ — スタートアップのマルチプラットフォーム配信。Twitter/X、LinkedIn、Reddit、HackerNews全般のコンテンツ作成と配信。プラットフォーム別最適化、スレッド作成、コミュニティ戦略。 🇰🇷 소셜 미디어 콘텐츠 — 스타트업 멀티플랫폼 배포. Twitter/X, LinkedIn, Reddit, HackerNews 전반의 콘텐츠 제작 및 배포. 플랫폼별 최적화, 스레드 작성, 커뮤니티 전략. Triggers: "social media content" | "Twitter thread" | "LinkedIn post" | "Reddit marketing" | "HackerNews" | "content distribution" | "social media strategy" | "startup content" | "community marketing" | "社交媒体" | "内容分发" | "社群运营"
As a process C 51/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
- A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.
Guard findings · 0
✓ No critical or high findings
Files scanned: 1. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-no-whendescription does not say WHEN to use the skill (no "use when")
Process rating: all ten parameters 51/100
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Failures and branches. Linear process with no failure handling
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 30Running it twice. 3 mutating operations with no state check
- 100Tools and files. No external tools needed
- 100Steps. 31 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1136 tokens
Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.
Quality signals
- +4Description does not say when NOT to use the skill (false activations)
- +3Description length 929: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +5Description quotes 9 example trigger phrases
- +4Structure: 11 headings
- +3Step-by-step instructions: 31 items
- +4Has examples (5 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 74.