ソース情報
- リポジトリ
- ApiliumCode/mayros
- ソースの最終更新活動
- 2026年2月26日 12:53
- 検出された SKILL.md の言語
- 英語
- スター
- 12
- フォーク
- 1
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SKILL.md
ソースの指示 · 読み取り専用プレビュー- name
- workflow-insights
- description
- Detects anti-patterns in agent workflows and computes health scores
- type
- semantic
- user-invocable
- true
- semantic
- {"skillVersion":1,"permissions":{"graph":["read"],"memory":["recall"]},"queries":[{"predicate":"workflow:analysis","scope":"agent"}]}
# workflow-insights
Detect anti-patterns in agent workflows and compute health scores based on 7 weighted pattern detectors.
## When to Use
Use when analyzing agent execution traces, debugging sluggish workflows, or auditing multi-step agent pipelines for inefficiency. The skill evaluates delegation chains, error patterns, resource usage, and tool utilization to produce a 0-100 health score.
## Anti-Pattern Detectors
| # | Pattern | Weight | Description |
| --- | ---------------- | ------ | ----------------------------------------------------------------------------------------- |
| 1 | Repeated Failure | 20 | Same error appearing 3+ times suggests retry without fix |
| 2 | Long Chain | 15 | Delegation chain exceeding 5 steps suggests over-decomposition |
| 3 | Unused Tool | 5 | Tool registered but never called suggests bloated configuration |
| 4 | Redundant Query | 10 | Same query pattern appearing multiple times suggests missing caching |
| 5 | Timeout Pattern | 20 | Multiple timeouts in sequence suggests resource contention |
| 6 | Resource Waste | 15 | Large context sent to simple tasks suggests poor task routing |
| 7 | Error Cascade | 15 | Error in one step causing errors in 3+ downstream steps suggests missing error boundaries |
## Health Score
- **80-100**: Healthy
- **60-79**: Needs attention
- **40-59**: Degraded
- **0-39**: Critical
## Instructions
1. Recall previous workflow analysis with `skill_memory_context` using predicate `workflow:analysis`
2. The skill scans query results for the 7 anti-pattern indicators listed above
3. Each detected pattern reduces the health score by its weight (starting from 100)
4. Review detected anti-patterns and address the highest-weight issues first
5. Re-run periodically to track workflow health improvements over time
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