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 agentmods add skills/ztxtech/ztxexp/ztx-exp-managernpx skills add ztxtech/ztxexp --skill ztx-exp-managergit clone --depth 1 https://github.com/ztxtech/ztxexpWrote 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/ztxtech/ztxexp/ztx-exp-manager)<a href="https://agentmods.dev/skills/ztxtech/ztxexp/ztx-exp-manager"><img src="https://agentmods.dev/badge/skills/ztxtech/ztxexp/ztx-exp-manager.svg" alt="Measured on agentmods" 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 | $0.00042 | $0.00530 |
| Opus 5 | $0.00021 | $0.00265 |
| Sonnet 5 | $0.00008 | $0.00106 |
| Haiku 4.5 | $0.00004 | $0.00053 |
Grade A, and why
ztx-exp-manager 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 5d 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.
What it actually says
ztx-exp-manager Skill（中文）
核心规则
- 优先使用
ExperimentPipeline组织实验，不手写零散调度脚本。 - 实验函数契约固定为：
exp_fn(ctx: RunContext) -> dict | None。 - 成功判定必须使用：
run.json.status == "succeeded"。 - 产物分工：
- 最终指标：
return dict->metrics.json - 过程指标：
ctx.log_metric(...)->metrics.jsonl - 业务文件：写入
artifacts/
- 最终指标：
常用流程
- 先用
grid/variants/random_search构建配置。 - 再执行
pipeline.run(exp_fn, mode=...)。 - 用
ResultAnalyzer聚合、导出和清理。
常用命令
pip install -U ztxexpztxexp init-vibepython -m pytest
排障清单
- 先看
run.json.status。 - 失败时查看
error.log。 - 曲线缺失时检查
ctx.log_metric(...)是否调用。
ztx-exp-manager Skill (English)
Core Rules
- Prefer
ExperimentPipelinefor workflow orchestration. - Keep experiment contract:
exp_fn(ctx: RunContext) -> dict | None. - Determine success strictly by
run.json.status == "succeeded". - Artifact responsibilities:
- Final metrics:
return dict->metrics.json - Step metrics:
ctx.log_metric(...)->metrics.jsonl - Business outputs: write into
artifacts/
- Final metrics:
Typical Workflow
- Build configs via
grid/variants/random_search. - Execute with
pipeline.run(exp_fn, mode=...). - Aggregate and clean results using
ResultAnalyzer.
Common Commands
pip install -U ztxexpztxexp init-vibepython -m pytest
Troubleshooting
- Check
run.json.statusfirst. - Read
error.logon failure. - Verify
ctx.log_metric(...)for missing curves.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 5d ago First seen · 67 lines · 42 tokens per session scan A e86f101b1cf9
ztx-exp-manager is a skill published in the GitHub repository ztxtech/ztxexp (5 stars, last pushed 5mo ago), licensed MIT. It adds 42 tokens to every session and 530 once invoked, about $0.0002 per session on Opus 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.
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