agentleFS
lavine888lavine888/Accounting-Red-Flag-Detector/production/SKILL.md

production

Skill0 starsChanged 51 days agoGPL-3.0View on GitHub

本文件定义*生产运行*的契约。任何写入 production/database.parquet 的运行都必须满足全部条款。 强制条件(scripts/build.py::run 会硬性拒绝违规写入): 主键 (trade_date, factor_id, symbol)。重复运行是 upsert:同键旧行被替换,其他日期保留。 若 schema 变化(列集合不同),写入被拒绝,需要显式迁移后使用 --replace-production。 trade_date、asset_type、symbol、factor_id、factor_name、factor_value、score、 rank、signal、confidence、risk_level、status、red_flag_count、 available_rule_count、coverage_ratio、evidence_json、run_metadata_json、 data_source、data_version、rules_version、rule_config_hash、run_id、 source_snapshot、data_sdk_version、runtime_versions_json、schema_version、update_time。 禁止:修改产物内容、手工修补计数、混用不同 rules_version 的行。 任一生产行都可以反查到: peer_context 是*附加的行业相对证据*(申万一级分位),永远不改变任何旗标、 risk_level 或 signal;行业样本不足 peer_min_sample(默认 5)时缺省。…

4 other projects use a version of this.

Adopted by

Most recently taken up by

  • Other versions4 projects use a version of this.

    Word for word · 0

    None found.

    Edited · 0

    None found.

    Wrote their own version · 4

    1. vstorm-co/production-stack-skills★ 25same name
    2. xsolla/xsolla-ai-kit★ 9same name
    3. miisodev/skills★ 0same name
    4. Mothilal-M/agentflow-skills★ 0same name

    How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.

  • In this repositoryOne other file it gives its agents.

The file

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.