Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add MarkD1Zzz/workflow-tracker --skill workflow-trackergit clone --depth 1 https://github.com/MarkD1Zzz/workflow-trackerWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/markd1zzz/workflow-tracker/workflow-tracker)<a href="https://agentmods.dev/skills/markd1zzz/workflow-tracker/workflow-tracker"><img src="https://agentmods.dev/badge/skills/markd1zzz/workflow-tracker/workflow-tracker/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/markd1zzz/workflow-tracker/workflow-tracker"><img src="https://agentmods.dev/badge/skills/markd1zzz/workflow-tracker/workflow-tracker.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00100 | $0.01793 |
| Opus 5.5 | $0.00040 | $0.00717 |
| Sonnet 5.5 | $0.00020 | $0.00359 |
| Haiku 4.5 | $0.00010 | $0.00179 |
Grade A, and why
workflow-tracker scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 178 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Workflow & Experiment Tracker
自动拆解为 Phase → Task → Experiment 三级结构。识别项目类型后输出对应格式。
触发
检测到以下任一信号即静默记录,不打断用户:
- 看到数字变化("精度从X变到Y"、"loss降到Z"、"F1从A变到B")
- 用户口述实验结论("试了X"/"不行"/"有效"/"放弃")
- 运行脚本后看到结果输出
- 参数变更("把A改成B"、"新增了C")
- 用户说"记录"/"保存"/"更新日志"
不必等到用户说"记录"才行动。在回复中自然地追加一条记录即可。
项目类型识别
首次进入项目时,扫描目录+用户对话,判定类型:
| 信号 | 类型 | 存储 |
|---|---|---|
含 tex/、manuscript、figures/、投稿、论文、ablation |
论文 | CHANGELOG.md + experiment_log.md |
含 data/train/、models/、train.py、pipeline、main.py |
工程 | workflow.json + workflow.md |
| 用户说"部署"/"产品"/"上线"/"API" | 工程 | workflow.json + workflow.md |
| 无法判断 | 默认工程 | workflow.json + workflow.md |
论文模式
直接追加两个 Markdown 文件,不建 JSON:
CHANGELOG.md
按时间线累积。每条格式:
## 2026-06-14 — 简短标题
### 背景
(1-2句说明为什么做这个改动)
### 改动
| 参数 | 旧值 | 新值 | 原因 |
|------|------|------|------|
### 效果
(关键数字变化)
experiment_log.md
每次实验一条,可独立阅读:
## 2026-06-14 — 实验标题
- **假设**: ...
- **方法**: ...
- **参数**: ...
- **结果**: 基线X → 新Y (delta)
- **结论**: SUCCESS / FAILED / PARTIAL
- **备注**: ...
工程模式
维护 .claude/workflow/workflow.json + 自动导出 .claude/workflow/workflow.md。
JSON 最小结构
{
"project": "项目名",
"updated": "2026-06-14T14:30",
"phases": [{
"name": "Phase 1: XXX",
"status": "in_progress",
"tasks": [{
"name": "Task 1.1: XXX",
"status": "completed",
"experiments": [{
"date": "2026-06-14",
"title": "实验标题",
"method": "一句话方法",
"params": {"old_lr": 0.001, "new_lr": 0.0002},
"results": {"baseline": 93.75, "new": 94.79, "delta": 1.04},
"conclusion": "SUCCESS",
"tags": ["classifier", "svm"]
}]
}]
}]
}
字段说明:
title/method/results/conclusion必填,其他可选params用 old_xxx / new_xxx 格式记录变更results.delta统一用 pp(百分点)或绝对值tags至少一个分类标签conclusion取值:SUCCESS | FAILED | PARTIAL | INCONCLUSIVE
workflow.md 自动导出
每次更新 JSON 后同步重写。格式:
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2mo ago First seen · 178 lines · 100 tokens per session scan A 18753d7b7773
workflow-tracker is a skill published in the GitHub repository MarkD1Zzz/workflow-tracker (9 stars, last pushed 4mo ago), licensed MIT. It adds 100 tokens to every session and 1,793 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
workflow-tracker compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| workflow-trackerMarkD1Zzz/workflow-tracker | Skill | 9 | 4mo ago | MIT | A | 100 | Claude Code, Codex |
| data-engineeringfengshao1227/ccg-workflow | Skill | 6.0k | 5d ago | MIT | A | 53 | Claude Code |
| aifengshao1227/ccg-workflow | Skill | 6.0k | 5d ago | MIT | A | 45 | Claude Code |
| trulens-evaluation-workflowtruera/trulens | Skill | 3.6k | yesterday | MIT | A | 18 | Claude Code, Codex |
| vs-crawlervolcengine/SearchCLI | Skill | 1.2k | 21d ago | Apache-2.0 | A | 57 | Claude Code, Codex |
| using-model-endpointUnicomAI/wanwu | Skill | 2.4k | 14d ago | Apache-2.0 | A | 40 | Claude Code, Codex |
| managed-model-endpointsUnicomAI/wanwu | Skill | 2.4k | 14d ago | Apache-2.0 | B | 83 | Claude Code, Codex |