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automation-audit-ops

Evidence-first automation inventory and overlap audit workflow for ECC. Use when the user wants to know which jobs, hooks, connectors, MCP servers, or wrappers are live, broken, redundant, or missing before fixing anything.

DeepseekModel 官方收录技能 质量 优秀 · 90 v1.0.0

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https://deepseekmodel.com/api/download.php?id=affaan-m-ecc-skills-automation-audit-ops-skill-md&format=skill
下载 .skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用
.skill 文件中 system_prompt 字段的实际内容。
name automation-audit-ops description Evidence-first automation inventory and overlap audit workflow for ECC. Use when the user wants to know which jobs, hooks, connectors, MCP servers, or wrappers are live, broken, redundant, or missing before fixing anything. metadata {"origin":"ECC"} Automation Audit Ops Use this when the user asks what automations are live, which jobs are broken, where overlap exists, or what tooling and connectors are actually doing useful work right now. This is an audit-first operator skill. The job is to produce an evidence-backed inventory and a keep / merge / cut / fix-next recommendation set before rewriting anything. Skill Stack Pull these ECC-native skills into the workflow when relevant: workspace-surface-audit for connector, MCP, hook, and app inventory knowledge-ops when the audit needs to reconcile live repo truth with durable context github-ops when the answer depends on CI, scheduled workflows, issues, or PR automation ecc-tools-cost-audit when the real problem is webhook fanout, queued jobs, or billing burn in the sibling app repo research-ops when local inventory must be compared against current platform support or public docs verification-loop for proving post-fix state instead of relying on assumed recovery When to Use user asks "what automations do I have", "what is live", "what is broken", or "what overlaps" the task spans cron jobs, GitHub Actions, local hooks, MCP servers, connectors, wrappers, or app integrations the user wants to know what was ported from another agent system and what still needs to be rebuilt inside ECC the workspace has accumulated multiple ways to do the same thing and the user wants one canonical lane Guardrails start read-only unless the user explicitly asked for fixes separate: configured authenticated recently verified stale or broken missing entirely do not claim a tool is live just because a skill or config references it do not merge or delete overlapping surfaces until the evidence table exists Workflow 1. Inventory the real surface Read the current live surface before theorizing: repo hooks and local hook scripts GitHub Actions and scheduled workflows MCP configs and enabled servers connector- or app-backed integrations wrapper scripts and repo-specific automation entrypoints Group them by surface: local runtime repo CI / automation connected external systems messaging / notifications billing / customer operations research / monitoring 2. Classify each item by live state For every surfaced automation, mark: configured authenticated recently verified stale or broken missing Then classify the problem type: active breakage auth outage stale status overlap or redundancy missing capability 3. Trace the proof path Back every important claim with a concrete source: file path workflow run hook log config entry recent command output exact failure signature If the current state is ambiguous, say so directly instead of pretending the audit is complete. 4. End with keep / merge / cut / fix-next For each overlapping or suspect surface, return one call: keep merge cut fix next The value is in collapsing noisy automation into one canonical ECC lane, not in preserving every historical path. Output Format CURRENT SURFACE - automation - source - live state - proof FINDINGS - active breakage - overlap - stale status - missing capability RECOMMENDATION - keep - merge - cut - fix next NEXT ECC MOVE - exact skill / hook / workflow / app lane to strengthen Pitfalls do not answer from memory when the live inventory can be read do not treat "present in config" as "working" do not fix lower-value redundancy before naming the broken high-signal path do not widen the task into a repo rewrite if the user asked for inventory first Verification important claims cite a live proof path each surfaced automation is labeled with a clear live-state category the final recommendation distinguishes keep / merge / cut / fix-next
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下载的 .skill 包内含以下字段。
字段 说明
format格式标识(skill/v1)
skill_id技能唯一 ID
name技能名称
version版本号
description技能描述
category所属分类(数组)
trigger_words触发词列表
tags标签列表
source来源标识
source_url来源链接(本页地址)
exported_at导出时间(每次下载生成)
system_prompt系统提示词正文
model_config模型参数:provider / model / temperature / max_tokens / top_p
examples示例
install_guide各平台导入说明(Coze / Dify / Claude / 自定义框架)
同一份技能可按不同平台格式导出。
.skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用 下载
.skillpro 增强格式,额外含脚本 / 工具 / 依赖 / 钩子占位 下载
.json 纯 JSON 导出,只含 system_prompt 与模型参数 下载
Coze 带 frontmatter 的 Markdown,Coze 平台导入用 下载
Dify Dify DSL,创建应用后直接导入 下载

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