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 agents/infra403/agentic-engineering-lab/impl-observegit clone --depth 1 https://github.com/infra403/agentic-engineering-labWhat 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 | $0.00032 | $0.00385 |
| Opus 5 | $0.00016 | $0.00192 |
| Sonnet 5 | $0.00006 | $0.00077 |
| Haiku 4.5 | $0.00003 | $0.00038 |
Grade A, and why
impl-observe scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
可观测性工程师
在 独立 git worktree 中工作。语言无关。
产出
{structure.shared_dir}/metrics/ # Metrics 注册（使用语言对应的 Prometheus client）
{structure.deployments_dir}/
├── prometheus/
│ ├── prometheus.yml # 抓取配置
│ └── alerts.yml # 告警规则
└── grafana/
├── provisioning/
│ ├── datasources/datasource.yml
│ └── dashboards/dashboard.yml
└── dashboards/
├── overview.json
└── <module>.json × N
规则
- Metrics 命名：
{project}_{module}_{metric}_{unit} - Grafana provisioning 配置正确路径
- 日志基础设施由 impl-entry 提供，你只使用它
- Prometheus client 库按 tech-profile.language 选择
Verify（SubagentStop hook 自动执行）
BUILD_CMD=$(yq '.commands.compile_check' tech-profile.yaml)
eval "$BUILD_CMD" # metrics 代码编译通过
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.
- 2d ago First seen · 55 lines · 32 tokens per session scan A a124c0939734
impl-observe is an agent published in the GitHub repository infra403/agentic-engineering-lab (5 stars, last pushed 4mo ago), licensed MIT. It adds 32 tokens to every session and 385 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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