Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/ooooooooooooooooooop/agent-toolsnpx agentmods add skills/ooooooooooooooooooop/agent-tools/environment-bootstrapWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/ooooooooooooooooooop/agent-tools/environment-bootstrap)<a href="https://agentmods.dev/skills/ooooooooooooooooooop/agent-tools/environment-bootstrap"><img src="https://agentmods.dev/badge/skills/ooooooooooooooooooop/agent-tools/environment-bootstrap/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/ooooooooooooooooooop/agent-tools/environment-bootstrap"><img src="https://agentmods.dev/badge/skills/ooooooooooooooooooop/agent-tools/environment-bootstrap.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00075 | $0.00558 |
| Opus 5.5 | $0.00030 | $0.00223 |
| Sonnet 5.5 | $0.00015 | $0.00112 |
| Haiku 4.5 | $0.00007 | $0.00056 |
Grade A, and why
environment-bootstrap 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 1mo 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
环境恢复
适用范围
只负责把仓库中的已登记 Skill 恢复到明确的用户级或设备级目的地。源仓库是权威源；仓库审计和包质量检查分别由 skill-repository-maintainer 与 skill-quality-gate 负责。
工作流程
-
确认源仓库存在
skills.json和已登记包。 -
运行源端严格校验：
python3 scripts/validate_repo.py --strict -
明确目的地。Windows 常见路径是
C:\Users\<user>\.codex\skills，不得猜测其他用户的目录。 -
先做只读差异检查：
python3 scripts/sync_skills.py --destination "<destination>" --profile core --check -
用户明确要求恢复时，选择
--profile core、--profile full或窄范围--skill，运行--apply，再对同一个目的地运行--check。
安全边界
- 永不通过恢复删除目的地额外文件；旧的未登记 Skill 应单独审查。
- 不隐式安装插件、MCP、包、hooks 或全局配置。
- 不用旧目的地文件、stdout 或 apply exit code 单独报告成功。
- 源端校验失败时停止恢复并保留原始错误。
- 回滚应从已知稳定提交或备份重新复制，不使用递归删除。
输出契约
报告源端、目的地、模式（check 或 apply）、profile/包数量、missing/different/extra、SHA-256 结果和剩余风险。只有 post-apply 检查干净时才报告 PASS；有明确的非阻塞目的地差异时报告 PARTIAL。
验证
成功恢复的最低证据：
strict source validation: PASS
apply: completed
post-apply hash check: PASS
destination-only files: preserved and reported
跨设备清单见 restore-profile.md。
What ships with it
3 files 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.
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.
- 1mo ago First seen · 54 lines · 75 tokens per session scan A a6958912d710
environment-bootstrap is a skill published in the GitHub repository ooooooooooooooooooop/agent-tools (3 stars, last pushed 1mo ago), licensed MIT. It adds 75 tokens to every session and 558 once invoked, about $0.0003 per session on Opus 5.5. 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
analyze
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session-deep-dive
Deep qualitative analysis of high-signal sessions. Spawns subagents with v2 template, synthesizes patterns, compares against known findings. Use after /session-scan.
brainstorm
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plugin-dev-workflow
Guide plugin development workflow — editing skills, agents, hooks, or eval framework in this repo. Use when modifying files in plugins/elixir-phoenix/, lab/eval/, or lab/autoresearch/. Ensures changes pass eval, lint, and tests before committing.
elixir-idioms
OTP/BEAM patterns and Elixir idioms — GenServer, Supervisor, Task, Registry, pattern matching, with chains, pipes. Use when designing processes or debugging BEAM issues.
tidewave-integration
Tidewave MCP runtime tools — debugging, smoke testing, live state inspection, SQL queries, hex docs. Use when evaluating code in a running Phoenix app.