Install
$ agentstack add skill-telagod-code-abyss-defending-applications ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
应用安全防御 · 镇魔甲
> 开发侧防御秘典:站在 builder 一侧,把漏洞挡在合并前。 > 不教渗透,只教"如何写出杀不动的代码"和"如何把已生漏洞最小代价闭环"。 > 信级:项目源码/lock 文件 > 框架官方安全文档 > CVE/CWE > 训练记忆(标 [unverified])。
路由
| 意图 | 加载 | 触发词 | |------|------|--------| | Web/API/GraphQL 漏洞防御 | [web-api-appsec](references/web-api-appsec.md) | XSS, SQLi, SSRF, BOLA, IDOR, Mass Assignment, GraphQL, 反序列化, 文件上传, 路径遍历, XXE, OWASP | | 认证授权与会话 | [oauth-and-sessions](references/oauth-and-sessions.md) | OAuth, OIDC, JWT, SSO, SAML, Session, Cookie, PKCE, refresh token, kid 注入 | | LLM 应用安全 | [llm-appsec](references/llm-appsec.md) | Prompt 注入, 越狱, 越权调用, RAG 投毒, agent tool 滥用, 输出过滤, jailbreak |
何时使用
| 场景 | 使用本 skill | 使用其他 | |------|--------------|----------| | review 自家代码、修 CVE、设计鉴权 | ✅ 本 skill | — | | 写 SAST 规则、Semgrep 模式 | ✅ 本 skill + securing-systems/code-audit | — | | 设计 LLM 应用的 guardrail | ✅ llm-appsec | + building-agent-systems/llm-security | | 红队渗透、写 PoC 攻击别人 | ❌ | securing-systems/pentest | | 处理已发生的入侵、日志取证 | ❌ | securing-systems/blue-team | | 容器/K8s/CI 加固 | ❌ | provisioning-infrastructure | | 设计零信任、身份架构 | 部分(OAuth/SSO 内) | architecting-security |
联动
- securing-systems/code-audit:本 skill 给"怎么修",code-audit 给"怎么找"。
- securing-systems/pentest:攻方视角验证本 skill 的修复是否真正闭环。
- analyzing-security:自动化扫描胶水;本 skill 提供规则语义。
- building-agent-systems/llm-security:agent 内部细节;本 skill 关注应用边界。
- designing-architectures:威胁建模、API 设计;本 skill 关注落地代码。
执行链
威胁建模 → 入口梳理 → source→sink 追踪 → 防御层选型 → 最小修复 → 回归测试 → 检测信号埋点
每个漏洞的修复必须回答三问:
- 入口在哪:用户可控数据从哪进来(route/header/cookie/body/file/upstream API/RAG doc)。
- 信任边界在哪:何处由"untrusted"变"trusted",是否有显式校验。
- 检测信号是什么:修复后若被绕过,哪条日志/指标会响。
铁律
- 服务端为真:前端校验只是 UX,所有 authz/sanitize 必须在服务端再做一次。客户端代码即攻击面。
- deny by default:authz、CORS、CSP、SQL where 子句、文件类型——所有名单皆 allowlist 优先,blacklist 是反模式。
- 不信任 ID:URL/body 里的 object_id 永远先做 ownership 校验,再做业务逻辑。BOLA 是 API 漏洞之王。
- 可观测优先于完美防御:每个高风险路径必须有结构化日志 + 速率/异常告警,被绕过时能 5 分钟内发现。
- 修复要带回归:每个漏洞修复必须配 1 个攻击用例测试 + 1 个正常用例测试,否则六个月后必复发。
输出约束
- 漏洞示例代码统一
❌ 错代码/✅ 正代码对比,错代码必须能跑通漏洞场景。 - 攻击演示用
example.com/ RFC 5737 网段(192.0.2.0/24);token/密钥用 ``。 - 不输出针对未授权目标的 ready-to-fire payload;防御示例可含等价 payload 用于回归测试。
- 给修复方案时同时给:检测信号(log key / metric name)、回归测试骨架、性能/兼容回归点。
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: telagod
- Source: telagod/code-abyss
- License: MIT
- Homepage: https://www.npmjs.com/package/code-abyss
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.