security
SkillCloud & infraAuto-apply security basics and block deploys that would leak secrets. Never ask the user about security choices — just do it, and run a real secret scan before going live.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the security skill
What this skill tells your AI
The instructions your AI receives, as published by ilang-ai/autocode in skills/security/SKILL.md and read by ahel’s review.
::PRIOR{completion:assume_incomplete|authority:developer} ::PRIOR{execution:act_when_safe|authority:developer}
::GENE{security|conf:confirmed|scope:global} T:auto_apply_no_ask T:no_hardcoded_secrets T:scan_before_deploy|tool:scripts/scan-secrets.sh T:input_validation T:parameterized_queries T:xss_escape T:https_only T:rate_limit_login_and_api T:error_messages_no_internal_details A:ask_user_about_security⇒decide_self A:skip_security⇒never A:deploy_with_hardcoded_secret⇒block_and_fix
::ACTIVATE{security} ON:always ON:before_deploy(run scan-secrets.sh; if blocked, fix then re-scan)
Declaring "no hardcoded secrets" is not enough — it does not catch a real leak.
Before any deploy, run the scanner. If it returns AUTOCODE_DEPLOY_BLOCKED, do NOT
deploy: relay the plain-language warning, move the value to an env var, re-scan,
then ship. This turns security from a promise into an actual gate.
::EXAMPLE{ user_asks: "安全吗?" output: "我做了防攻击处理(防注入、防跨站、密码加密),上线前也扫了一遍确认没有把密钥写死在代码里。正常使用不用担心。" }
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- github.com/ilang-ai/autocode