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secure-coding

Apply security-conscious thinking when generating or modifying code. Enforces trust boundary awareness, input validation, injection prevention, secrets management, and defense-in-depth authorization. Use when generating code that handles user input, authentication, authorization, database queries, external APIs, or file operations, or when the user mentions 'security review', 'secure this', 'check for vulnerabilities', 'trust boundary', 'input validation', or 'OWASP'. Loaded automatically by the code-generating molecules (code-forge, refactor-safely, bug-fix). This skill governs the security posture of generated code -- not architecture (see architecture) and not code craft (see clean-code).

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含まれるファイル(2)

  • SKILL.md5.9 KB
  • references/defaults.md14.4 KB

SKILL.md(原文)

インストールする前に、エージェントに与えられる指示の中身を確認できます。

Secure Coding

Config Resolution

Projects can customize this skill's standards. Resolution order:

  1. Read .lattice/config.yaml in the repo root.
  2. If found, check paths.secure_coding for a custom document path.
  3. If a custom document exists at that path, read it and check its YAML frontmatter for mode:
    • mode: override: the custom document has full precedence. Use it instead of the embedded defaults. It must be comprehensive -- treat it as the sole reference.
    • mode: overlay (or no mode field): read the embedded ./references/defaults.md first, then apply the custom document's sections on top. A custom section replaces the matching default section (matched by exact heading); new sections append after the defaults.
  4. If a custom path is configured but no document exists at it → tell the user which configured path is missing, then fall back to ./references/defaults.md.
  5. If there is no config file or no paths.secure_coding key, read ./references/defaults.md.
  6. Language adaptation: if paths.language_idioms is set in the config and the document exists, read its "Error Handling" section and adapt §2 (Input Validation Patterns) error-message patterns to the language's idioms. Language idioms take precedence over the pseudocode defaults.

Self-Validation Checklist

STOP after generating each component. Verify ALL checks before proceeding. A check clearly fails → fix the code before presenting. A check is a judgment call with multiple valid approaches (see Ambiguity Signals) → flag it -- present options and reasoning rather than silently choosing.

  1. TRUST BOUNDARIES: Where does trusted code meet untrusted data? Are all boundaries explicitly identified?
  2. INPUT VALIDATION: Is every external input validated at the boundary with an allowlist before it reaches business logic?
  3. QUERY SAFETY: Are all database queries parameterized? Is any string concatenation used in query building?
  4. COMMAND SAFETY: Is there any shell/command execution? If so, is the input strictly allowlisted?
  5. SECRETS: Are there API keys, passwords, tokens, or connection strings in code? If so → move them to environment variables or a secret manager.
  6. OUTPUT ENCODING: Is output encoded appropriately for its render context (HTML, JSON, URL)?
  7. AUTHORIZATION: Is authorization verified at the service layer, not just the controller? Does every endpoint enforce least privilege?
  8. ERROR MESSAGES: Do error messages exposed to users avoid revealing internal detail (stack traces, SQL queries, file paths)?
  9. DEPENDENCIES: Is each new third-party package necessary? Are versions pinned or constrained? Is any known-vulnerable package being added?

All checks pass → state "Passes secure-coding. [next step]."

Active Anti-Pattern Scan

STOP: After verifying the checklist above, scan the output for each anti-pattern below. Any box you can check → fix before presenting the code.

  • Trust All Input: no validation on request parameters; data flows straight into business logic → validate at the boundary with an allowlist.
  • SQL String Concatenation: user input interpolated into a SQL query → use a parameterized query or ORM query builder.
  • Hardcoded Secrets: API key, password, or token in source code → use an env var or secret manager.
  • Missing Authorization: auth checked at login but not re-verified at the service or resource level → check at every layer.
  • Overly Broad Permissions: admin access granted where read-only suffices → apply least privilege.
  • Unvalidated Redirects: a user-controlled URL used in a redirect → allowlist permitted destinations.
  • Verbose Error Messages: stack trace or SQL in an API response → return a generic message; log details server-side.
  • Logging Sensitive Data: passwords, tokens, or PII in log files → log the event, not the value; mask sensitive fields.

Ambiguity Signals

Checks here often have multiple valid outcomes. When you encounter one, present the options rather than silently choosing. If framework:collaborative-judgment is loaded, use its presentation format.

  • Trust Boundary Scope: an internal API behind a trusted gateway may or may not need full boundary validation.
  • Error Message Detail: how much detail is "actionable but safe" depends on whether the consumer is a human user, a frontend client, or an internal service.
  • Validation Depth: whether to re-validate at inner layers (defense-in-depth) or trust boundary validation alone.
  • Auth vs Authz Failure Response: whether to return 401 (not authenticated) or 403 (not authorized) depends on whether the identity is known.

Core Principle

Govern the security posture of generated code -- trust boundaries, input validation, injection prevention, secrets, authorization.

Boundary with clean-code: clean-code governs error-message craft; this skill governs what error messages must not reveal (internal detail).

Boundary with architecture: architecture defines where checks live (service layer, not controller); this skill defines what to check (identity confirmed, permission granted, resource owned).

See ./references/defaults.md.

レビュー

まだレビューはありません。使ってみた感想をお寄せください。

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日本語の概要は準備中です。原文の説明を表示しています。

techygarg/lattice1992026年10月10日 更新

Architectural thinking partner for an existing repository — scans the codebase, conducts a structured interview, agrees on current architectural state and recommended direction, and produces a shareable insights document. Scoped to one repository, module, or folder. Does not execute transformation — it orients. Use when the user says 'assess my codebase architecture', 'what direction should my codebase go', 'architecture compass', 'understand my architecture', 'audit architecture drift', 'architectural assessment', or 'help me understand what is wrong with my codebase'.

日本語の概要は準備中です。原文の説明を表示しています。

techygarg/lattice1992026年10月10日 更新

Facilitate a structured conversation to define architecture principles for a repository. Supports multiple architecture styles: clean architecture (default), hexagonal / ports & adapters, modular monolith, or custom. Produces a formal architecture document that the corresponding atom will use. Use when setting up a new project, defining architecture standards, or when the user says 'setup architecture', 'define layers', 'architecture principles', 'help me define my architecture', 'hexagonal architecture', 'modular monolith', 'ports and adapters', or 'define my architecture style'.

日本語の概要は準備中です。原文の説明を表示しています。

techygarg/lattice1992026年10月10日 更新

bug-fix

無料

Investigate, reproduce, and safely fix a bug with regression protection. Composes context, diagnosis, architecture, code quality, and testing guardrails into a reproduce-first repair workflow. Use when the user says 'fix this bug', 'debug this', 'investigate this failure', 'patch this regression', 'repair this issue', or 'why is this broken'.

日本語の概要は準備中です。原文の説明を表示しています。

techygarg/lattice1992026年10月10日 更新

Apply clean code principles when generating or modifying implementation code. Enforces function focus, naming clarity, complexity management, error handling, and self-documenting style. Use when the user mentions 'clean code', 'code quality', 'coding guidelines', or 'implementation quality'. Loaded automatically by the code-generating molecules (code-forge, refactor-safely, bug-fix). This skill governs the craft of writing individual code units -- not architecture (see architecture), not security posture (see secure-coding), not test structure (see test-quality), and not refactoring workflows (see refactor-safely).

日本語の概要は準備中です。原文の説明を表示しています。

techygarg/lattice1992026年10月10日 更新

Facilitate a structured conversation to define clean code principles for a repository. Produces a formal clean-code.md document that the clean-code atom will use as its override. Use when setting up coding standards, defining code quality rules, or when the user says 'setup clean code', 'define coding standards', 'code quality principles', 'coding guidelines', or 'help me define my code standards'.

日本語の概要は準備中です。原文の説明を表示しています。

techygarg/lattice1992026年10月10日 更新

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