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 skills/baek-labs/hames/source-command-readynpx skills add baek-labs/hames --skill source-command-readygit clone --depth 1 https://github.com/baek-labs/hamesWhat 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 | $0.00021 | $0.00392 |
| Opus 5 | $0.00010 | $0.00196 |
| Sonnet 5 | $0.00004 | $0.00078 |
| Haiku 4.5 | $0.00002 | $0.00039 |
Grade A, and why
source-command-ready 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
source-command-ready
Use this skill when the user asks to run /ready <task-id>.
Workflow
- 현재 작업 공간과 로컬 규칙을 확정한다.
- 사용자 요청에서 목표, 승인된 파일 범위, 불변 조건, 인수 기준, 필수 검증, 요청·승인 출처,
plan을arsenal/task_contract.schema.json에 맞는 입력 JSON으로 구조화한다. 출처는 감사용 메타데이터일 뿐 인증이 아니다. - 아래 helper로
.hames/contracts/_Active/<task-id>/패키지를 생성하고DRAFT -> READY로 전환한다. 기존 패키지의 명세를 갱신하는 경우만draft를 사용한다.DRAFT이후의 수정은AMENDMENT_PENDING이 되고 기존 세션 포인터·증거를 무효화한다.
node arsenal/task_contract.js create --input "<spec-json-path>"
# 기존 초안 갱신 시: node arsenal/task_contract.js draft --input "<spec-json-path>"
node arsenal/task_contract.js ready --workspace "<workspace-path>" --task-id "<task-id>"
contract.json경로, 상태, 리비전, 명세 해시, 기록된 출처를 보고하고 구현은 시작하지 않는다. 현재 사용자의 별도/go <task-id>요청을 기다린다.
contract.json이 정본이며 plan.md는 안내일 뿐이다. 낮은 복잡도 작업은 사용자가 /ready를 직접 호출한 경우가 아니면 기존 흐름을 유지한다. 이 스킬은 Git 작업이나 중요 행동 승인을 자동화하지 않는다.
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 · 25 lines · 21 tokens per session scan A c81bdcc33228
source-command-ready is a skill published in the GitHub repository baek-labs/hames (5 stars, last pushed 1mo ago), licensed MIT. It adds 21 tokens to every session and 392 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 2026-08-31.
Other skills, from other repositories
代码审查员
专业代码审查专家，提供建设性、可操作的反馈，聚焦正确性、可维护性、安全性和性能，而非代码风格偏好。.
release-gate-loop
发版前自动验证闸门——V 验证 + F 修复循环（verdict FAIL → F 改代码 → 跑 audit → V 重验），最大 3 轮直到 PASS。纯只读验证 + 最小修复。.
fresh-eyes-loop
发布后独立质量循环——A/B 双盲 12 视角 fresh-eyes 审查 + 修复 + 验证，每轮新 session 保证零上下文，连续 2 轮无 P0/P1 即停。.
sofagent-fde
前线部署与知识工程专家。梳理企业业务流、识别 AI 节点、构建 ontology 本体数据、交付离场。 部署完成后转为持续优化模式（sustain），自动读 audit 报告趋势生成优化报告。 不写应用代码——把企业业务规则、组织架构、系统边界转译成 sofagent 的数据层和约束层。.
sofagent-audit
收到用户任务后，不要自己执行——用 Bash tool 把任务交给 DeepAgents 编排引擎：.
sofagent
FDE Skill——帮 FDE（前线部署工程师）更好完成企业 AI 落地的方法论 Skill。约束 Agent 行为、审计每次变更、沉淀经验。 底层实现叫约束层——一个层四种能力：注入·审计·回溯·进化。FORGE 自迭代工具链是内部开发工具。 内置持续优化模式（sustain），自动读 audit 报告趋势生成优化报告。.