Business logic audit
Skill VictorAurelius/claude-starter-kit/skills/quality/business-logic-audit
Dùng khi user nói 'business audit', 'logic check', 'kiểm tra business logic', 'code đúng rules chưa', hoặc trước GA release. Verify code implement đúng rules.md + use-cases.md. 5 categories /100.From its SKILL.md
npx -y skills add VictorAurelius/claude-starter-kit --skill business-logic-auditAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
2 things to look at
- 1 stars1 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
- runs commandsInstructs the agent to run 7 commands, including `ls documents/01-business/*/ | grep -v README` and 6 more.
SKILL.md
6.6 KB, ~1.8k tokens by cl100k_base, as published. Nobody here has run it
/business-logic-audit — Verify Code ↔ Business Rules
Score /100. Walk through every domain in documents/01-business/, verify code implements rules correctly. Adapt <modules> / <core-module> placeholders to your project layout.
Process
1. Collect Domains
ls documents/01-business/*/ | grep -v README
2. Primacy: bug-finding > scoring (BLOCKING)
An audit's purpose is to surface code-rules drift BEFORE production violates documented business policy (wrong pricing, wrong retention, wrong consent flow). A
/100score is less actionable than the same score + list of unimplemented BR-xxx + config-key drifts with file:line evidence. Per.claude/rules/audit-skill-rubric-business-logic-audit.md§4 (mirror of the security-audit bug-finding-primacy pattern).
Rules for every audit run:
- Enumerate ALL §3 sub-checks per category. NEVER skip.
- Each sub-check returns: PASS / FAIL / N/A-with-reason /
❓ UNCHECKED. No partial credit. - Final output starts with bug list (every BR/config FAIL with
rules.md:line+*.java:lineevidence) BEFORE the score. - Score is descriptive only; audit-level verdict = FAIL if ANY P0 sub-check FAILS.
- Cat 5 Stakeholder rules require human review — Claude flags FAIL, human decides closure.
3. Per-Domain: 5 Categories with per-check rubric
Every category binds to a per-check pass/fail rule. For EACH domain folder, read rules.md, use-cases.md, api-contract.md, then verify in code:
| # | Category (20pts) | Per-check rubric file |
|---|---|---|
| 1 | Rule Coverage | .claude/rules/audit-skill-rubric-business-logic-audit.md §2.1 (6 sub-checks) |
| 2 | Config Accuracy | .claude/rules/audit-skill-rubric-business-logic-audit.md §2.2 (5 sub-checks) |
| 3 | Edge Case Tests | .claude/rules/audit-skill-rubric-business-logic-audit.md §2.3 (5 sub-checks) |
| 4 | Cross-Domain Consistency | .claude/rules/audit-skill-rubric-business-logic-audit.md §2.4 (5 sub-checks) |
| 5 | Stakeholder Alignment | .claude/rules/audit-skill-rubric-business-logic-audit.md §2.5 (5 sub-checks) |
Per-check scoring (all 5 categories)
For each Category N:
- Walk through every §2 sub-check in the bound rule.
- Mark each sub-check PASS / FAIL / N/A-with-reason /
❓ UNCHECKED. - Score =
20 - (failed_P0_count * 6) - (failed_P1_count * 3) - (failed_P2_count * 1), floor 0; cap 20 if all PASS. - If ANY P0 sub-check fails → category total CAPPED at 16/20 AND audit-level verdict = FAIL.
- Each FAIL surfaces in bug list per §2 primacy.
Legacy scoring narrative: reference/scoring-guide.md retained for backward-compat only.
4. Output
Save to documents/audits/business-logic-audit-[date].md
5. Scripts
# Existing — checks 3-layer structure exists
scripts/verify-business-docs.sh
# Manual — verify each BR-xxx has code path
# Grep for config keys in application.yml
Grep Scope — CRITICAL
NEVER scope greps to only top-level module dirs — multi-module Maven/Gradle projects put classes/config in submodules (<core-module>/, <service-module>/). Narrow scope = silent false-positive ("class doesn't exist" when it does).
Safe patterns (use one):
# Option 1 (broad, preferred) — project root, filter by extension
grep -rnE "ClassName|BR-ID" --include="*.java"
grep -rn "config.key.name" --include="*.yml"
# Option 2 (explicit submodules) — glob all module src dirs
grep -rn "ClassName" <modules>/*/src/ --include="*.java"
grep -rn "config.key" <modules>/*/src/main/resources/ --include="*.yml"
Sanity check before filing "X doesn't exist" gap:
# If narrow grep returns 0 hits, re-run with broad scope before claiming absence
grep -rn "SuspectedMissingClass" --include="*.java" | head -5
Ref: .claude/rules/audit-to-gap-pipeline.md.
Context Management
Audit này có thể tốn 30-50K tokens nếu không kiểm soát. Tuân thủ:
- Output limiting — LUÔN pipe grep results qua
| head -N:- BR-xxx grep:
| head -30(chỉ cần biết có/không, không cần xem hết) - Config key grep:
| head -20 - Test file count: dùng
wc -lthay vì list full
- BR-xxx grep:
- Per-domain staging — Nếu >5 domains, score 2 domains đầy đủ rồi apply pattern cho còn lại. Chỉ individually score domains có cấu trúc ĐẶC BIỆT.
- Subagent delegation — Nếu >8 domains hoặc codebase >500 source files:
- Agent 1: nhóm domain A
- Agent 2: nhóm domain B
- Parent: aggregate scores
- Skip known-good — Domains không thay đổi từ audit trước → carry forward score, chỉ verify version match
Gotchas
- Config keys are in
application.ymlANDapplication-test.yml— check both - Some BR-xxx implemented in gateway (rate-limit rules) not core — search all modules
- Category 5 (Stakeholder) always requires human review — Claude flags, human decides
- Grep output cho large codebase có thể 1000+ lines — LUÔN giới hạn
- Multi-module scope trap —
grep -r "X" <top-level-dirs>may silently miss submodule hits (e.g.<core-module>/). Follow "Grep Scope" section above.
Skill Contents
reference/scoring-guide.md— Detailed rubric per category with examplesdata/eval-fixtures/— 3 synthetic scenarios for self-test
Eval Fixtures
3 synthetic fixtures live under data/eval-fixtures/ to keep this skill
honest when its body is edited (per eval-first guidance — keep a regression
contract). Each fixture has a # Expected: PASS|FAIL header and a
Which check fires annotation.
good.md— syntheticattendancedomain where every BR-* maps to code + config aligns; expected output100/100 Grade A.bad-rule-not-implemented.md—BR-ATT-005declared in rules.md but no@PreAuthorize/ service guard exists; Category 1 must report-4.edge-config-key-renamed.md— config keylate-threshold-minutesrenamed tolate-grace-minutesin code, rules.md not updated; Category 2 must catch the silent drift.
Run: open the fixture and walk through the audit process steps mentally
against the synthetic content; the Expected audit-report excerpt section
in each fixture is the regression contract. When extending this skill,
re-walk all 3 fixtures and confirm the expected outputs still hold.
What ships with it: 4 files
11.3 KB alongside SKILL.md
data/
reference/
- scoring-guide.md4.6 KB
Gives 0 of the 12 instructions most quality gates skills give in ~1.8k tokens
Counted across 1,524 of the 2,830 authors here whose files we hold, read 2026-09-06
- Read full output and check exit codein 45 of 1524, across 40 files
- Verify output confirms the claimin 44 of 1524, across 39 files
- Identify the command that proves the claimin 43 of 1524, across 39 files
- Execute the full verification commandin 36 of 1524, across 30 files
- Produce a verification reportin 34 of 1524, across 18 files
- Review git diff changesin 30 of 1524, across 16 files
- Fix build failures immediatelyin 29 of 1524, across 9 files
- Group findings by severityin 28 of 1524
- State claim only with evidencein 27 of 1524, across 22 files
- Verify regression tests with red-green cyclein 26 of 1524, across 22 files
- Run the full test suitein 26 of 1524, across 25 files
- Run test suite with coveragein 25 of 1524, across 10 files
Said here and by no other author read
- Enumerate all sub-checks per category
- List bugs with file and line evidence before scoring
- Mark each sub-check as PASS, FAIL, N/A, or UNCHECKED
- Verify code against rules, use-cases, and api-contract files
- Pipe grep results through head to limit output size
- Use broad grep patterns to include all project submodules
Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.