source-command-cb-health

A one-line health-reporting command for Code Brain, a coding-agent support system. It checks diagnostics, workers, queues, and the file index.

In plain words
What is it for?
Use it to report system status, failed checks, worker activity, queued work, and indexed files and bytes.
Why use it?
It removes the need to inspect several system components separately when checking whether Code Brain is operating normally.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/ezbuilder/code-brain/source-command-cb-health
Any agent
npx skills add ezBuilder/code-brain --skill source-command-cb-health
Clone the repo
git clone --depth 1 https://github.com/ezBuilder/code-brain

Made for: Claude Code, Codex.

Per session 28 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 390 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00028 $0.00390
Opus 5 $0.00014 $0.00195
Sonnet 5 $0.00006 $0.00078
Haiku 4.5 $0.00003 $0.00039

Measured 2d ago against content hash b4a3988158d4, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

source-command-cb-health 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.

.agents/skills/source-command-cb-health/SKILL.md · 36 lines

What it actually says

source-command-cb-health

Use this skill when the user asks to run the migrated source command cb-health.

Command Template

.ai/bin/ai obs health-summary --json 실행. 표·박스·이모지·헤더·해설 모두 금지. 코드 블록 사용 금지. 평문만.

JSON 경로:

  • ok
  • doctor.{ok, failed[]} (failed는 {name, detail} 객체 배열)
  • worker.{locked, stale, cross_host, pid, hostname}
  • queue.{pending, processing, dead, oldest_pending_age_seconds, oldest_processing_age_seconds}
  • index.{indexed_files, indexed_bytes}

출력 형식:

코드브레인 상태: {ok ? "정상" : "주의 필요"}
- doctor: {failed.length === 0 ? "전체 통과" : `실패 ${failed.length}건`}
{failed 배열의 각 항목마다 한 줄: "  · {name}: {detail}"}
- 큐: pending {pending} / processing {processing} / dead {dead} (oldest pending {oldest_pending_age_seconds}s)
- worker: {locked ? `pid=${pid} host=${hostname}` : "미실행"}
- 인덱스: {indexed_files}파일 / {indexed_bytes}B

규칙:

  • 실패 detail은 doctor 응답에 그대로 들어있다. "detail 미포함" 같은 추측 금지.
  • 권장 조치/troubleshooting 안내 금지. 사용자가 /cb-doctor로 직접 확인.
  • 위 형식 외 한 글자도 추가하지 않는다.
Files

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.

Changes

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.

  1. 2d ago First seen · 36 lines · 28 tokens per session scan A b4a3988158d4

Subscribe to this mod's changes

source-command-cb-health is a skill published in the GitHub repository ezBuilder/code-brain (11 stars, last pushed 2d ago), licensed Apache-2.0. It adds 28 tokens to every session and 390 once invoked, about $0.0001 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 2026-08-30.

Related

Other skills, from other repositories

kayba-stage-3-metrics

Define metrics from Kayba insights, implement them as Python measurement code, run against traces, and iterate until the metrics are clean and meaningful. Trigger when the user says "run stage 3", "define metrics", "build metrics", "compute baselines", or when invoked by the kayba-pipeline orchestrator. Requires…

kayba-ai/agentic-context-engine · 92 tokens

kayba-stage-4-rubric

Organize computed metrics into a tiered evaluation rubric with leading, lagging, and quality indicators. Trigger when the user says "run stage 4", "build rubric", "tier metrics", or when invoked by the kayba-pipeline orchestrator. Requires eval/baselinemetrics.json and eval/computebaselines.py to exist.

kayba-ai/agentic-context-engine · 77 tokens

kayba-stage-5-action-plan

Triage each insight into discard/code-fix/prompt-fix and produce a prioritized action plan with specific recommendations. Trigger when the user says "run stage 5", "make action plan", "triage skills", or when invoked by the kayba-pipeline orchestrator. Requires eval outputs from stages 1-4.

kayba-ai/agentic-context-engine · 74 tokens

kayba-stage-6-hitl

Human-In-The-Loop gate that presents the action plan with full context, collects an informed approval/modification/rejection decision, and records the outcome. Trigger when the user says "run stage 6", "HITL review", "approve action plan", or when invoked by the kayba-pipeline orchestrator. Requires eval/actionplan.md…

kayba-ai/agentic-context-engine · 87 tokens

kayba-stage-2-domain-context

Gather domain context about the repository and agent — system prompt, tool definitions, domain docs, and behavior patterns from traces. Trigger when the user says "run stage 2", "gather context", "domain context", or when invoked by the kayba-pipeline orchestrator.

kayba-ai/agentic-context-engine · 64 tokens

kayba-stage-7-fixer

Implement the approved fixes from the action plan and log all changes. Trigger when the user says "run stage 7", "implement fixes", "apply action plan", or when invoked by the kayba-pipeline orchestrator. Requires eval/actionplan.md to exist.

kayba-ai/agentic-context-engine · 61 tokens