Agent测试
- 作者仓库星标 13
- 作者更新于 实时读取
- 作者仓库 miroshark-aeon
- 领域
- 通用 · meta
- 兼容 Agent
-
- Claude Code
- Cursor
- Cline
- Codex
- Windsurf
- Gemini CLI
- +20
- 信任分
- 94 / 100 · 已通过审计
- 作者 / 版本 / 许可
- @aaronjmars · 未声明 license
- Token 消耗评级
- 低消耗
- 接入复杂程度
- 需简单配置
- 是否需要外部 API Key
- 不需要
- 兼容的系统
- 未声明(默认跨平台)
- 底层运行要求
- 无特殊要求
- 文件与系统权限
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- 只读
- 允许写入 / 修改
- Shell 执行
- 网络行为
- 允许外网请求
- 安装命令数
- 26 条
档案由构建时根据 SKILL.md 与安装命令自动衍生,可能与作者实际意图存在差异。
---
name: Heartbeat
description: Proactive ambient check — surface anything worth attention If ${var} is set, focus checks on tha…
category: 通用
runtime: 无特殊运行时
---
# Heartbeat 输出预览
## PART A: 任务判断
- 适用问题:通用任务拆解、检查和交付。
- 输入要求:目标材料、限制条件、期望输出和验收方式。
- 证据边界:围绕“Step 0: Compute today's day-of-week from the shell — do not infer it / Checks”读取原文规则,不把推断写成作者承诺。
## PART B: 执行结果
- **01** 任务判断:确认你的需求是否属于通用任务拆解、检查和交付,并标出输入、限制和预期结果。
- **02** 执行计划:优先按“Step 0: Compute today's day-of-week from the shell — do not infer it / Checks”拆成步骤,说明每一步会读取什么、修改什么、产出什么。
- **03** 交付结果:给出可复制的命令、文件改动、检查清单或内容草稿,并说明如何继续迭代。
- **04** 风险边界:结合 读取文件、写入/修改文件、执行终端命令、会按任务需要访问外部网络、通常不需要额外 API Key 给出执行前确认项。
## Running Rules
- 读取文件、写入/修改文件、执行终端命令;会按任务需要访问外部网络;通常不需要额外 API Key。
- 先小样例验证,再放大到真实任务。
- 交付时同时给结果、检查口径和下一步迭代建议。 原文没有稳定的斜杠命令要求。安装验证后通常全局生效,直接在对话里点名这个 Skill 并描述任务即可。
告诉 Agent 目标文件或材料、期望结果、不可改范围、是否允许联网或执行命令。本 Skill 的权限画像是:读取文件、写入/修改文件、执行终端命令。
先用一个小任务确认它会围绕“Step 0: Compute today's day-of-week from the shell — do not infer it / Checks”工作;涉及文件或命令时,先看 diff、日志、预览或测试结果。
检查最终产物是否包含明确结果、必要证据和下一步动作;如果输出泛泛而谈,就补充输入、边界和验收标准后重跑。
---
name: Heartbeat
description: Proactive ambient check — surface anything worth attention If ${var} is set, focus checks on tha…
category: 通用
source: aaronjmars/miroshark-aeon
---
# Heartbeat
## 什么时候使用
- 把通用方向的常用动作沉淀成 Agent 可调用的技能 适合处理通用任务拆解、检查、交付和复盘,核心价值是把输入、判断、执行、验证和交付边界固定下来,避免 Agent 泛泛回答。 围绕 meta 组织上下文、步骤和验收口径;通常不需要额外…
- 面向通用任务拆解、检查和交付,优先处理能明确输入、步骤和验收标准的工作。
## 需要提供什么
- 目标材料、目录范围、期望结果和不可改动内容。
- 是否允许联网、执行命令、读写文件或调用外部服务。
## 执行规则
- 围绕「Step 0: Compute today's day-of-week from the shell — do not infer it / Checks」组织步骤,不把推断写成作者事实。
- 读取文件、写入/修改文件、执行终端命令;会按任务需要访问外部网络;通常不需要额外 API Key。
- 先跑小样例,确认结果可检查后再扩大任务范围。
## 输出要求
- 给出最终产物、关键证据、验证方式和下一步动作。
- 信息不足时标记 unknown,不编造命令、平台或依赖。 作者原文负责流程事实;仓库文件负责来源和命令;流狐只补充适用场景、限制和质量判断。
skill "Heartbeat" {
输入层 -> 用户目标 + 目标文件 + 禁止范围 + 验收标准
上下文层 -> Step 0: Compute today's day-of-week from the shell — do not infer it / Checks
规则层 -> SKILL.md 触发条件 / 执行顺序 / 输出格式
运行层 -> 无特殊运行时 | 读取文件、写入/修改文件、执行终端命令 | 会按任务需要访问外部网络
安全层 -> 通常不需要额外 API Key + 小任务验证 + diff / 日志复核
输出层 -> 可复制结果 + 检查清单 + 下一步迭代
} ${var} — Area to focus on. If empty, runs all checks.
If ${var} is set, focus checks on that specific area.
Read memory/MEMORY.md and the last 2 days of memory/logs/ for context.
Step 0: Compute today's day-of-week from the shell — do not infer it
Before checking any schedules, run:
date -u +%A # full name, e.g. "Wednesday"
date -u +%u # numeric, 1=Mon … 7=Sun
date -u +%d # day-of-month, e.g. "30"
Use the shell-computed day-of-week as the source of truth in every "is this skill scheduled today?" comparison below. Do not infer the day-of-week from ${today} or the YYYY-MM-DD date — past heartbeat runs have hallucinated the wrong weekday from the date (Apr 29 2026 was logged as "Tuesday" when it was actually Wednesday, which then mis-classified memory-flush's on-schedule Wed run as "off-schedule" because the skill thought Wed wasn't a memory-flush day). The shell value is deterministic; the inferred value is not.
Anchor the heartbeat report header on the shell output: Date: <%A> <Mon DD>, <YYYY> — <HH:MM> UTC.
Translate cron expressions before checking schedules:
- Weekday (
0 N * * D) —Dis0=Sun, 1=Mon, …, 6=Sat. Compare againstdate -u +%u(which is1=Mon … 7=Sun— Sunday differs). - Every-other-day (
0 N */2 * *) — when in doubt, ground-truth against the last 7 days ofcron-state.jsonlast_dispatchtimestamps for that skill. Do not assume which parity (odd / even days-of-month) the cron resolves to without checking.
Checks
Check the following:
Any open PRs stalled > 24h? (use
gh pr listto check)Anything flagged in memory that needs follow-up?
Check recent GitHub issues for anything labeled urgent (use
gh issue list)Scan aeon.yml for enabled scheduled skills — cross-reference with today's log (
memory/logs/${today}.md) to find any that haven't run when expected.Matching skill names to log entries: Skills log under human-readable
## Headers, not their aeon.yml kebab-case names. To check if a skill ran, do a case-insensitive match against##header lines only —grep -iE '^## …', not a free-text substring search of the full file. Header-only matching matters for short skill names: substring-searching the whole file forfeaturematches body text like "added a feature" in push-recap, falsely concluding thefeatureskill ran on a day it actually failed and masking the outage. Build the regex by replacing hyphens in the kebab-case name with[ -]?so both## Feature Builtand## Self-Improveare accepted. Examples:token-report→^## token[ -]?report(matches## Token Report,## Token Report (Update))push-recap→^## push[ -]?recap(matches## Push Recap,## Push Recap (MiroShark))fetch-tweets→^## fetch[ -]?tweets(matches## Fetch Tweets — MIROSHARK)feature→^## feature\b(matches## Feature Built — ...,## feature skill run— and does not match the bare word "feature" inside other sections' body text)hyperstitions-ideas→^## hyperstitions(matches## Hyperstitions Ideas)memory-flush→^## memory[ -]?flushself-improve→^## (self[ -]?improve|agent self-improvement)(matches## Self-Improve — 2026-05-04,## Agent Self-Improvement)repo-pulse→^## repo[ -]?pulserepo-article→^## repo[ -]?articlerepo-actions→^## repo[ -]?actionsproject-lens→^## project[ -]?lenstweet-allocator→^## tweet[ -]?allocatorweekly-shiplog→^## weekly[ -]?shiplogskill-leaderboard→^## skill[ -]?leaderboard
Timing rules (avoid false positives):
- GitHub Actions cron has ±10 min jitter and skills take 5-15 min to complete.
- Only flag a skill as missing if its scheduled time was more than 2 hours ago.
- Also check
gh run list --workflow=aeon.yml --created=$(date -u +%Y-%m-%d) --json displayTitle,status,createdAt— if the skill is currentlyin_progressorqueuedand was created less than 2 hours ago, don't flag it. - Stuck-run detection: If a run has been
in_progressfor more than 2 hours (comparecreatedAtagainst current time), treat it as stuck. Flag it in the report as "stuck (in_progress > 2h)" and allow auto-trigger of a fresh run. Do NOT cancel the stuck run — just dispatch a new one alongside it. - For day-of-week schedules (e.g.
0 20 * * 0for Sundays), only check on the matching day.
Before sending any notification, grep the last 48h of logs for the same issue. If the same missing-skill or stalled-PR was already reported, skip it. Batch all findings into a single notification.
If nothing needs attention, log "HEARTBEAT_OK" and end your response.
If something needs attention:
Auto-trigger missing skills — for each skill confirmed missing (not just stalled PRs or issues), dispatch it if not already running:
Dedup guard — check before dispatching: Before firing
gh workflow runfor a skill, check whether a run for that skill is alreadyqueuedorin_progressand was started less than 2 hours ago:gh run list --workflow=aeon.yml --json displayTitle,status,createdAt --jq \ '.[] | select((.status == "queued" or .status == "in_progress") and ((now - (.createdAt | fromdateiso8601)) < 7200)) | .displayTitle'If the output contains the skill name (case-insensitive), skip the dispatch — the skill is already pending. Runs older than 2 hours are considered stuck and ignored by this guard (a fresh dispatch is allowed). Only dispatch skills that have no active-and-recent or queued run:
gh workflow run aeon.yml -f skill="SKILL_NAME"Skip auto-trigger for:
heartbeatitself,memory-flush,self-improve,reflect,self-review(meta/housekeeping skills). For all other confirmed-missing daily or weekly skills that pass the dedup check, dispatch them.Send a concise notification via
./notifylisting what was flagged, what was auto-triggered, and what was skipped (already queued/in-progress).Log the finding and action taken to memory/logs/${today}.md.
先判断是否适合
作者设计意图
作者的方法与取舍
边界和复核