dx-code-analyzer-custom-rule-create: Custom Code Analyzer Rule Authoring

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Lets your agent write custom code analysis rules that flag patterns like hardcoded IDs or banned calls in Salesforce code.

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Then ask your AI: use the dx-code-analyzer-custom-rule-create: Custom Code Analyzer Rule Authoring skill

About this capability

Create custom Code Analyzer rules for Regex (pattern matching), PMD (XPath/AST for Apex and metadata XML), and ESLint (LWC/JavaScript/TypeScript). Use when users want to enforce coding standards, ban patterns, detect hardcoded values, govern metadata, or add rules not in the built-in set. TRIGGER wh

What this skill tells your AI

The instructions your AI receives, as published by forcedotcom/sf-skills in skills/dx-code-analyzer-custom-rule-create/SKILL.md and read by ahel’s review.

Ecosystem: This skill is part of a 3-skill Code Analyzer suite — dx-code-analyzer-run (scans & results) · dx-code-analyzer-configure (setup, config, CI/CD) · dx-code-analyzer-custom-rule-create (custom rule authoring).

Use this skill when the user needs to create a custom rule that enforces a pattern not covered by Code Analyzer's built-in rules. Supports Regex engine (text pattern matching) and PMD engine (structural XPath queries against the AST).

When This Skill Owns the Task

Use dx-code-analyzer-custom-rule-create when the work involves:

  • Creating a new custom rule for Code Analyzer (any engine)
  • Enforcing team-specific coding standards via static analysis
  • Banning specific patterns (System.debug, hardcoded IDs, TODOs)
  • Writing XPath expressions for PMD rules (Apex or metadata XML)
  • Writing regex patterns for the Regex engine
  • Setting up custom ESLint rules/plugins for LWC/JavaScript
  • Enforcing metadata governance (API versions, field descriptions, dangerous permissions)
  • Overriding built-in rule thresholds (CyclomaticComplexity, ExcessiveParameterList, etc.)
  • Organizing multiple rules into shared rulesets
  • Iterating on a custom rule that isn't matching correctly

Delegate elsewhere when the user is:

  • Running a scan against existing rules → dx-code-analyzer-run skill
  • Configuring engines, prerequisites, CI/CD → dx-code-analyzer-configure skill
  • Explaining what an existing built-in rule means → dx-code-analyzer-run skill
  • Writing Apex code or tests → generating-apex / running-apex-tests skills

Required Context to Gather First

Ask for or infer:

  • What pattern to catch — what code should be flagged? (If user selected code in their IDE, the selection IS the answer — do not re-ask.)
  • What to allow — any exceptions? (test classes, specific contexts)
  • File scope — which file types? (.cls, .trigger, .js, all?)
  • Severity — how critical? (default: 3/Moderate)

If the user selected code (IDE selection context present), treat it as the pattern definition. Skip clarification unless genuinely ambiguous about what aspect of the selection to target.

If the request is vague with NO selection ("add a rule for best practices"), ask ONE clarifying question:

"What specific pattern should this rule flag?"


Hard Constraints

These are non-negotiable rules. Violating any of them is a skill failure regardless of whether the output happens to work.

  1. ALWAYS run ast-dump before writing XPath. No exceptions. Do not use node names from memory, references, or prior conversations. The AST is the source of truth — run sf code-analyzer ast-dump, read the output, then write XPath that matches what you see. Even for "well-known" patterns like SOQL-in-loop, run ast-dump first. If you skip this step and the rule works, it is still a process failure.

  2. ALWAYS use the scripts to create rules. For regex rules, ALWAYS use create-regex-rule.js. For PMD rules, ALWAYS use create-pmd-rule.js. Do NOT manually edit code-analyzer.yml to add rule definitions — regex patterns in YAML cause escaping failures (quotes inside quotes, backslashes getting eaten). The scripts handle YAML serialization correctly every time.

  3. NEVER manually edit code-analyzer.yml after a script writes to it — even to fix a bad value. The scripts produce correctly-escaped YAML. If you then rewrite or restructure the file, you WILL break the escaping. If the user added top-level config (like ignores.files), leave it alone too — only touch what you wrote.

    If a script's output looks wrong (rule fails to validate, YAML parse error, stray characters in the regex):

    • DO NOT patch the YAML by hand. That is exactly the failure mode this constraint exists to prevent.
    • Always delete the broken rule's entire YAML block, then re-invoke the script with corrected arguments. Removing a block you just wrote does not violate this rule; rewriting fields inside it does.
    • If the script accepted bad input and produced bad output, the input was wrong (e.g., --regex "/.../ g" with a stray space — the flags must be /g exactly, no whitespace). Re-invoke with the corrected argument.
    • If you genuinely believe the script has a bug, STOP and surface it to the user. Do not hand-edit as a workaround.
  4. --regex must be /pattern/flags with NO whitespace. The script trims and validates flags strictly — only g, i, m, s, u, y. /pat/ g (with a space) is rejected; so is /pat/x (invalid flag) and /pat/ (no flags). The global flag g is mandatory. If validation fails, fix the argument — do NOT bypass by writing YAML directly.

  5. ALWAYS validate after creation. Run sf code-analyzer rules --rule-selector <engine>:<name> before testing. If Found 0 rules, the YAML didn't parse — delete the block, fix the argument, re-invoke the script.

  6. ALWAYS test against a sample file. Confirm at least one true positive and one true negative.

    For regex rules, the negative sample MUST NOT contain the pattern text anywhere — including inside comments and string literals. Regex engines scan raw text; // no System.debug here IS a match for /System\.debug/g. Trace your pattern against the negative file mentally before running it.

  7. Create rules ONE AT A TIME, sequentially. When the user requests multiple rules, create each rule individually through the full workflow (create → validate → test positive → test negative) before starting the next one. Do NOT batch-create rules — if one fails, it corrupts the config for all subsequent rules. Complete each rule end-to-end, confirm it works, then move to the next.

  8. For regex rules, exclude test classes via ignores.filesregex_ignore does NOT do this. regex_ignore is a per-LINE filter (the line must match BOTH the rule and the ignore pattern); it cannot exclude an entire test class. If the user's intent is "skip test classes," add a top-level ignores.files block with globs like "**/*Test.cls" AFTER all rules are created — do not interleave config edits with script invocations.


Engine Selection

Pattern TypeEngineWhy
Text/string pattern (TODO, hardcoded ID, keyword)RegexSimple, fast, no Java needed
Apex code structure (method calls, nesting, SOQL in loops)PMD/XPath (language=apex)Understands AST, not fooled by comments/strings
Metadata XML governance (API version, permissions, descriptions)PMD/XPath (language=xml)Structural XML matching with namespace handling
LWC/JavaScript/TypeScript patternsESLint*Standard JS tooling, plugin ecosystem
Both could work (Apex/metadata only)Regex firstSimpler to create and maintain

* For ESLint: ALWAYS check Tier 1 (built-in rules) and Tier 2 (configurable rules) BEFORE creating a custom plugin. See references/eslint-rules-discovery.md.

"Both could work → Regex first" NEVER applies to JavaScript/LWC/TypeScript files. JS/LWC/TS patterns MUST use ESLint — Regex cannot distinguish code from comments/strings in JS and produces false positives. Do NOT rationalize Regex for JS files based on "simplicity" or "no npm dependencies."

Tell the user which engine you chose and why. Respect their preference if they disagree.

Excluding Test Classes — Strategy by Engine

When a rule should NOT apply to test classes, the approach differs by engine:

EngineHow to exclude test classesNotes
PMD (Apex)Add [not(ancestor::UserClass[ModifierNode[@Test = true()]])] to the XPathStructural exclusion — works perfectly, no config changes needed
RegexUse ignores.files in code-analyzer.yml with globs like **/*Test.clsregex_ignore is per-LINE, not per-FILE — it CANNOT exclude entire test classes. Only use regex_ignore for per-line patterns like // NOPMD
ESLintUse ignores array in eslint.config.jsStandard ESLint file-level ignores

regex_ignore is NOT file-level exclusion. It only skips matches on lines that ALSO match the ignore pattern. Example: regex_ignore: "/@isTest/i" only suppresses violations on lines containing @isTest — a SOQL query on line 50 of a test class still flags because line 50 doesn't contain @isTest. To exclude test files from regex rules entirely, use:

ignores:
  files:
    - "**/*Test.cls"
    - "**/*_Test.cls"

ignores.files is GLOBAL — it affects ALL engines and ALL rules. If you need test-class exclusion for some rules but not others (e.g., exclude tests from SOQL rules but still scan tests for @AuraEnabled), use PMD with XPath for the rules that need selective exclusion. PMD's XPath can structurally check @Test = true() per-method or per-class — Regex cannot.

Decision guide for Apex rules that should skip test classes:

  • If the pattern is structural (method calls, annotations, nesting) → use PMD. XPath handles test-class exclusion natively.
  • If the pattern is purely textual AND all regex rules should skip tests → use Regex + ignores.files.
  • If you have a mix (some rules skip tests, others don't) → use PMD for the test-sensitive rules, Regex for the others.

Workflow

When User Selects Code (IDE Selection)

When the user highlights a code block in their editor and asks to "catch this", "flag this pattern", "create a rule for this", or similar:

  1. The selection IS your positive sample. Do NOT ask "what pattern should this rule flag?" — the user already showed you. Do NOT write a new sample from scratch.
  2. Identify what's structural vs. incidental in the selection:
    • Structural (rule-worthy): the method call, the loop pattern, the missing keyword, the nesting
    • Incidental (ignore): specific variable names, string values, parameter counts
    • Ask ONE question if ambiguous: "Should the rule catch all System.debug calls, or only those without a LoggingLevel parameter?"
  3. Ast-dump the ACTUAL file the user has open (not a new sample file):
    sf code-analyzer ast-dump --file <the-open-file.cls> --output-file <ast.xml>
    
  4. Find the selection in the AST output — locate the nodes corresponding to the highlighted lines. These are your target nodes.
  5. Generalize the XPath — write XPath that matches the structural pattern, NOT the specific instance. Replace specific variable names with wildcards, keep structural nodes and discriminating attributes.
  6. Continue with standard workflow (negative sample, create rule, validate, test positive + negative).

Example flow:

  • User selects: Database.query('SELECT Id FROM ' + objectName)
  • Structural pattern: Database.query call (dynamic SOQL)
  • Incidental: the specific string concatenation inside
  • Engine: PMD (structural call detection)
  • XPath: //MethodCallExpression[@FullMethodName='Database.query']
  • NOT: regex matching Database.query (would miss multiline, match comments)

Example flow (block selection):

  • User selects a 5-line block with SOQL inside a for-each loop
  • Structural: SOQL query as descendant of loop body
  • Incidental: specific query fields, variable names
  • Engine: PMD
  • Ast-dump the open file → find ForEachStatement + SoqlExpression in body
  • XPath: //ForEachStatement/BlockStatement//SoqlExpression

For Regex Rules

  1. Write a positive sample (5-10 lines) demonstrating the violation. Write sample files inside the project workspace (e.g., a temporary samples/ directory at the project root) so Code Analyzer can target them.
  2. Write a SEPARATE negative sample file — code that looks similar but must NOT be flagged. Test your regex mentally against this file BEFORE creating the rule.
  3. Build and create the rule — read references/regex-rule-schema.md for the complete schema, then run the script:
    node "<skill_dir>/scripts/create-regex-rule.js" \
      --name "<RuleName>" --regex "<pattern>" --description "<desc>" \
      --severity <1-5> --file-extensions ".cls,.trigger"
    
    ALWAYS use the script. Do NOT manually write regex patterns into code-analyzer.yml — regex characters (quotes, backslashes, braces) inside YAML cause parsing failures. The script handles serialization correctly.
  4. Validatesf code-analyzer rules --rule-selector regex:<RuleName>
  5. Test positivesf code-analyzer run --rule-selector regex:<RuleName> --target <violation-sample> — must find violations
  6. Test negativesf code-analyzer run --rule-selector regex:<RuleName> --target <clean-sample> — must find 0 violations. If it flags clean code, your regex is too broad — go back and tighten the pattern.
  7. Iterate if test fails (adjust regex, add regex_ignore, narrow extensions)
  8. Cleanup — delete ALL sample files you created. Do not leave temporary test fixtures in the user's project.

For PMD/XPath Rules (Apex)

  1. Write a minimal sample (5-10 lines) demonstrating the violation. Write sample files inside the project workspace (e.g., a temporary samples/ directory at the project root) so Code Analyzer can target them. After both positive and negative tests pass, delete ALL sample files you created — both the original samples and any copies made during testing. Do not leave temporary test fixtures in the user's project. For loop-based rules, the positive sample MUST include all 3 Apex loop types (for-each, traditional for, and while) — omitting any loop type means the XPath won't be validated against it and may silently miss violations.
  2. MANDATORY: Dump the ASTsf code-analyzer ast-dump --file <sample.cls> --output-file <ast.xml> — this step is NOT optional. Do NOT skip it even if you "already know" the node names. Run it, read the output, confirm the exact node names and attributes.
  3. Read the AST output — identify the target node and its attributes from the ACTUAL ast-dump output (not from memory). Use references/apex-ast-reference.md and references/xpath-patterns.md as supplementary context only.
  4. Write XPath — target the smallest stable node with discriminating attributes. Every node name in your XPath MUST appear verbatim in the ast-dump output you just read. Use /Child (direct child) vs //Descendant deliberately — check the ast-dump to understand which nodes are siblings vs nested.
  5. BEFORE creating the rule: Write a SEPARATE negative sample file (5-10 lines) showing code that is CORRECT and must NOT be flagged. This MUST be a distinct file from the positive sample — do NOT combine positive and negative cases into one file. For loop-based rules, include for (x : [SELECT...]) idiom. Run sf code-analyzer ast-dump on this negative sample file too. Read the output and trace your XPath against it — confirm it does NOT match any node in the negative AST. If it would match, go back to step 4 and tighten the XPath BEFORE proceeding. Do NOT skip this step or defer it until after rule creation. The negative file will be used again in step 9 for an explicit zero-violation confirmation.
  6. Create the rule — run the script:
    node "<skill_dir>/scripts/create-pmd-rule.js" \
      --name "<RuleName>" --xpath "<expression>" --message "<msg>" \
      --language apex --priority <1-5>
    
  7. Validatesf code-analyzer rules --rule-selector pmd:<RuleName>
  8. Test positivesf code-analyzer run --rule-selector pmd:<RuleName> --target <violation-sample.cls> — must find violations
  9. Test negativesf code-analyzer run --rule-selector pmd:<RuleName> --target <clean-sample.cls> — must find 0 violations. If it flags clean code, your XPath is too broad — go back to step 4.
  10. Iterate if test fails (re-examine AST, adjust XPath, check node names)
  11. Cleanup — delete ALL sample files you created (both positive and negative samples, and any ast-dump output files). Do not leave temporary test fixtures in the user's project.

For PMD/XPath Rules (Metadata XML)

  1. Identify the metadata file type (field, permissionset, profile, flow, etc.)
  2. Dump the XML ASTsf code-analyzer ast-dump --file <file>-meta.xml --language xml --output-file <ast.xml>. If ast-dump fails with an error (e.g., "XmlEncoding is not a valid XML name"), fall back to reading the raw XML file directly — the XML DOM structure IS the AST for metadata files (what you see in the file is what PMD sees). Read the file, note element names, nesting, and text content.
  3. Read the DOM structure — confirm element names, nesting, and text content from the ast-dump output OR the raw file. Use references/metadata-xml-rules.md as supplementary context only.
  4. Write XPath for PMD 7 — CRITICAL rules for metadata XML XPath:
    • All element matching MUST use local-name()='ElementName' (namespace blocks bare names)
    • Text content matching MUST use @Text attribute (NOT text() — the text() function does not work in PMD 7's XML language). Example: //*[@Text='ModifyAllData']
    • Navigate from text nodes UP to parent elements using ../.. (text node → element → parent element)
    • Check sibling conditions via .//*[@Text='value'] on the parent
    • See references/metadata-xml-rules.md for the complete PMD 7 XPath pattern
  5. Configure file extensions — PMD's XML language only processes .xml by default. Salesforce metadata files use compound extensions (.permissionset-meta.xml, .field-meta.xml, etc.) but path.extname() returns .xml from these, so .xml is sufficient:
    engines:
      pmd:
        file_extensions:
          xml: [".xml"]
    
    Do NOT add compound extensions like .permissionset-meta.xml — Code Analyzer's validator rejects them (/^[.][a-zA-Z0-9]+$/ pattern). Just .xml covers all Salesforce metadata files automatically.
  6. Write a SEPARATE negative sample file — same as Apex rules: create a metadata file that is correct and must NOT be flagged. Verify the XPath does not match it BEFORE creating the rule. Both positive and negative samples should be .xml extension files in the workspace so PMD can scan them directly.
  7. Create the rule — run the script:
    node "<skill_dir>/scripts/create-pmd-rule.js" \
      --name "<RuleName>" --xpath "<expression>" --message "<msg>" \
      --language xml --priority <1-5>
    
  8. Validatesf code-analyzer rules --rule-selector pmd:<RuleName>
  9. Test positivesf code-analyzer run --rule-selector pmd:<RuleName> --target <violation-sample>.xml — must find violations
  10. Test negativesf code-analyzer run --rule-selector pmd:<RuleName> --target <clean-sample>.xml — must find 0 violations
  11. Iterate if test fails (check @Text vs text(), verify local-name() usage, check file extensions config)
  12. Cleanup — delete ALL sample files you created (both positive and negative samples, and any .xml copies made for testing). Do not leave temporary test fixtures in the user's project.

For ESLint Rules (LWC/JavaScript/TypeScript)

ESLint Discovery Workflow (Read First)

ESLint has 200+ built-in rules plus thousands more from plugins. DO NOT attempt to create a custom plugin before checking if a built-in rule exists. The discovery workflow is:

  1. Tier 1 (Built-In Rules) — 70% of requests

    • Run: sf code-analyzer rules --rule-selector eslint
    • Search for keywords (e.g., "console", "unused", "equal")
    • Check LWC plugin rules (@lwc/lwc/*)
    • If found: Configure and STOP
  2. Tier 2 (Configurable Rules) — 20% of requests

    • Pattern is "ban function X"? → no-restricted-globals
    • Pattern is "ban syntax Y"? → no-restricted-syntax
    • Pattern is "ban property Z"? → no-restricted-properties
    • If applicable: Configure and STOP
  3. Tier 3 (Custom Plugins) — 10% of requests

    • Only for domain-specific multi-node patterns
    • Requires Node.js code, testing, meta.docs metadata
    • See: references/eslint-custom-plugins.md

See: references/eslint-rules-discovery.md for complete discovery guide with examples.


  1. MANDATORY: Run the ESLint discovery workflow FIRST. 90% of ESLint requests are solved by built-in rules (Tier 1) or configurable rules like no-restricted-syntax (Tier 2). Creating a custom plugin (Tier 3) is a LAST RESORT. Before proceeding:

    a) Run: sf code-analyzer rules --rule-selector eslint b) Search the output for keywords from the user's request (e.g., "console", "equal", "unused") c) Check LWC plugin rules: grep for @lwc/lwc/ in the output d) If found: Configure it (see references/eslint-rules-discovery.md) and STOP. Do NOT create a custom plugin. e) If not found: Check if no-restricted-globals, no-restricted-syntax, or no-restricted-properties can express the pattern (Tier 2). f) Only if no Tier 1 or Tier 2 solution exists: Proceed to custom plugin creation.

    Validation: After configuration, run sf code-analyzer rules --rule-selector eslint:<ruleName> to confirm it appears. If it doesn't, the config is wrong.

    Skipping this discovery workflow and creating a custom plugin when a built-in rule exists is a skill failure, regardless of whether the custom plugin works.

Built-in ESLint rules vs. configurable ESLint rules: Code Analyzer bundles a SUBSET of ESLint rules in its base config. Rules like no-restricted-globals, no-restricted-syntax, and no-restricted-properties are core ESLint rules but are NOT active until you enable them in an eslint.config.js. They WILL appear in sf code-analyzer rules output ONLY after you configure them. Always validate (step 4) to confirm the rule actually loaded — do NOT assume a rule exists just because it's a core ESLint rule.

  1. Install the ESLint plugin (skip if using a built-in/core ESLint rule) — npm install --save-dev eslint-plugin-<name>
  2. Create/update eslint.config.js — add plugin and rule configuration (or just enable the built-in rule with "error" severity). The file MUST exist before configuring engines.eslint.eslint_config_file in code-analyzer.yml — Code Analyzer validates the path and fails if the file is missing.
  3. Configure Code Analyzer — set engines.eslint.eslint_config_file in code-analyzer.yml. Do this AFTER the file exists.
  4. Validatesf code-analyzer rules --rule-selector eslint:<ruleName>. If the rule does NOT appear, the config is wrong — do NOT proceed to testing. Check: (a) Is the eslint.config.js file in the correct location? (b) Does the plugin have meta.docs.description and meta.docs.url? (c) Is the rule deprecated? Code Analyzer silently excludes deprecated rules.
  5. Write a test sample file in the workspace (e.g., lwc/testSample/testSample.js) demonstrating the violation
  6. Test positivesf code-analyzer run --rule-selector eslint:<ruleName> --target <test-sample> — must find violations
  7. Test negative — run against existing clean LWC files — must find 0 violations
  8. Cleanup — delete ALL sample files AND their parent directories (LWC requires a folder per component). Use rm -rf <directory>, not just rm <file>. Do not leave empty directories or temporary test fixtures in the user's project.
  9. See references/eslint-custom-plugins.md for complete guide

Common ESLint patterns without a custom plugin

For no-restricted-globals, no-restricted-syntax, and no-restricted-properties config examples, see <skill_dir>/references/eslint-custom-plugins.md — "Banning APIs Without a Custom Plugin" section.

ESLint Discovery Examples

Example 1: Built-in rule (Tier 1)

  • User: "Ban console.log in LWC"
  • Discovery: sf code-analyzer rules --rule-selector eslint | grep console → finds no-console
  • Action: Enable no-console in eslint.config.js
  • Result: Done in 2 minutes (no custom plugin needed)

Shortened here. Read the whole file on GitHub.

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Automated review, not a security audit. Ruleset v1+k2.

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