Pre-action boundary checking — validates agent tool calls against declared capabilities and task contracts
日本語の概要は準備中です。原文の説明を表示しています。
hada.io RSS feed monitoring for AI agent/harness articles with automated /scout analysis
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Automated pipeline that monitors hada.io (via feedburner RSS) for AI agent, harness, benchmark, and eval-related articles, then runs /scout analysis on each match.
Complement geeknews-scout with harness/eval-focused coverage from hada.io. While geeknews-scout casts a broad net over AI agent news, hada-scout narrows to benchmark/evaluation framework content — the domain most relevant to oh-my-customcode's harness and agent-eval subsystems.
hada-scout issueshada-scout + pending-scoutpending-scout labelclaude -p "/scout {url}" (max 5 executions per run)pending-scouthada-scout uses harness/benchmark/eval focused keywords, distinct from geeknews-scout's broader AI agent coverage:
harness|benchmark|eval|evaluation framework|agent framework|코드 리뷰 자동화|하네스|벤치마크|평가
Geeknews-scout handles: Claude|Anthropic|MCP|AI agent|에이전트|agentic|multi-agent|...
| Label | Purpose |
|---|---|
hada-scout | Source identification — all hada-scout created issues |
pending-scout | Awaiting /scout analysis (set by Layer 1, cleared by Layer 2) |
scout:internalize | /scout verdict: adopt into project |
scout:integrate | /scout verdict: use as external dependency |
scout:skip | /scout verdict: not relevant |
pending-scout issues are processed in the next scheduled runinfra/geeknews-scout/ubuntu-ext clusterinfra/hada-scout/
check-feed.sh — Layer 1 feed pollerscout-runner.sh — Layer 2 /scout executorDockerfilecronjob.template.yamldeploy.sh.env.example| Variable | Default | Description |
|---|---|---|
GH_TOKEN | (required) | GitHub PAT for issue creation |
REPO | baekenough/oh-my-customcode | Target repo |
FEED_URL | http://feeds.feedburner.com/geeknews-feed | hada.io RSS feed |
KEYWORDS | (see above) | Pipe-separated keyword regex |
MAX_SCOUT_PER_RUN | 5 | Max /scout executions per Layer 2 run |
| Rule | How |
|---|---|
| R009 | Layer 1 and Layer 2 run as independent CronJobs |
| R010 | Skill defines the architecture; implementation delegated to infra-docker-expert for K8s manifests |
| scout skill | Layer 2 invokes /scout via claude -p subprocess |
GitHub Issue #841
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Pre-action boundary checking — validates agent tool calls against declared capabilities and task contracts
日本語の概要は準備中です。原文の説明を表示しています。
Auto-detect project context and optimize harness — deactivate unused agents/skills, suggest missing experts, generate project profile
日本語の概要は準備中です。原文の説明を表示しています。
Adversarial code review using attacker mindset — trust boundary, attack surface, business logic, and defense evaluation
日本語の概要は準備中です。原文の説明を表示しています。
Apache Airflow best practices for DAG authoring, testing, and production deployment
日本語の概要は準備中です。原文の説明を表示しています。
Alembic migration patterns for naming conventions, safety checks, expand-contract, env.py configuration, and CI integration
日本語の概要は準備中です。原文の説明を表示しています。
Pre-routing ambiguity analysis — scores request clarity and asks clarifying questions when needed (inspired by ouroboros)
日本語の概要は準備中です。原文の説明を表示しています。