Borrowing it
Nothing to install: this file belongs to claude89757/wechat-on-airflow. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/claude89757/wechat-on-airflow/main/.agents/skills/operate-tennis-alerts/SKILL.mdgit clone --depth 1 https://github.com/claude89757/wechat-on-airflowWrote 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/claude89757/wechat-on-airflow/operate-tennis-alerts)<a href="https://agentmods.dev/skills/claude89757/wechat-on-airflow/operate-tennis-alerts"><img src="https://agentmods.dev/badge/skills/claude89757/wechat-on-airflow/operate-tennis-alerts/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/claude89757/wechat-on-airflow/operate-tennis-alerts"><img src="https://agentmods.dev/badge/skills/claude89757/wechat-on-airflow/operate-tennis-alerts.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 146 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00062 | $0.01689 |
| Opus 5.5 | $0.00025 | $0.00676 |
| Sonnet 5.5 | $0.00012 | $0.00338 |
| Haiku 4.5 | $0.00006 | $0.00169 |
Grade A, and why
operate-tennis-alerts 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 4d 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 — 172 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Operate Tennis Alerts
The owner accepts interruptions. Follow the minimal lifecycle in
docs/runbooks/fast-verification.md: scoped local tests, fast PR checks, one main
release gate and protected SHA-based updates. Shared Python changes require
lint/typecheck/Python tests, not unrelated image builds. Prefer interruptible
Airflow updates; never clear durable business outboxes or bypass authentication.
These rules supersede blanket full-verify and uninterrupted-service requirements.
For verification scope follow docs/runbooks/fast-verification.md. Focused local
checks replace blanket full verification for documentation, frontend and MCP-only
work; shared or release-control changes still require make verify. The exact
pushed CI gate and protected production authority remain mandatory.
Treat the repository and read-only production evidence as operational memory. Carry work from diagnosis through verified production state when the request includes repair, maintenance, release, or deployment.
Rebuild Context
Work from the repository root. Confirm it by locating
config/active-components.yaml.
Read these sources before changing runtime behavior:
AGENTS.mdconfig/active-components.yamlconfig/config-contracts.yamlconfig/runtime-target.yamlARCHITECTURE.mddocs/production-baseline.md- The runbook and ADR relevant to the affected component
Inspect the worktree, local HEAD, upstream state, existing test evidence, and
the current production baseline. Do not infer production state from chat
history. Never print Variable values, credentials, recipient addresses,
tokens, device login details, database passwords, or Fernet material.
Classify The Work
Choose the narrowest applicable class:
- Read-only diagnosis: inspect code, contracts, logs, health, recent runs, service status, and incident outbox metadata without changing production.
- Reversible repair: change code, tests, documentation, or non-secret contracts; deploy an exact pushed commit with a documented rollback.
- Configuration maintenance: compare names, types, counts, and protected hashes; migrate required configuration without exposing values.
- Release: verify, commit, push, wait for CI, deploy every affected runtime, observe natural cycles, and record evidence.
- High-risk operation: stop before apply and obtain explicit approval.
What ships with it
3 files 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.
- 4d ago Changed · +21 lines · -43 tokens per session 5d2733fef382
- 2mo ago First seen · 151 lines · 105 tokens per session scan A 6f47209cce2c
operate-tennis-alerts is a skill published in the GitHub repository claude89757/wechat-on-airflow (95 stars, last pushed 2d ago), licensed MIT. It adds 62 tokens to every session and 1,689 once invoked, about $0.0002 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 2026-08-30.
operate-tennis-alerts compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| operate-tennis-alertsclaude89757/wechat-on-airflow | Skill | 95 | 2d ago | MIT | A | 62 | Codex |
| tailscaleasgeirtj/system_prompts_leaks | Skill | 71k | 2d ago | CC0-1.0 | A | 62 | Claude Code, Codex |
| ai-persistence/build-cloudflare-artifact-storeTanStack/ai | Skill | 3.3k | yesterday | MIT | A | 104 | Claude Code |
| langbot-deploylangbot-app/LangBot | Skill | 19k | yesterday | Apache-2.0 | B | 104 | Claude Code, Codex |
| ai-persistence/build-cloudflare-adapterTanStack/ai | Skill | 3.3k | yesterday | MIT | A | 68 | Claude Code |
| agenticx-deployerDemonDamon/AgenticX | Skill | 988 | yesterday | Apache-2.0 | A | 69 | Claude Code, Codex |
| airflow-state-storeastronomer/agents | Skill | 458 | 4d ago | Apache-2.0 | A | 243 | Claude Code |