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-acceptnpx skills add baek-labs/hames --skill source-command-acceptgit 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 | $0.00136 |
| Opus 5 | $0.00010 | $0.00068 |
| Sonnet 5 | $0.00004 | $0.00027 |
| Haiku 4.5 | $0.00002 | $0.00014 |
Grade A, and why
source-command-accept 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-accept
Use this skill only when the current user explicitly invokes /accept <task-id>. Tests, evidence, and model self-review do not constitute acceptance.
node arsenal/task_contract.js accept --workspace "<workspace-path>" --task-id "<task-id>" --approval "current-user:/accept <task-id>"
Run only for a REVIEW contract. Report the resulting ACCEPTED state and acceptance provenance. Do not archive, commit, push, or deploy automatically.
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 · 15 lines · 21 tokens per session scan A ee1711303e45
source-command-accept 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 136 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。.