Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add agents/thevibeworks/claude-code-docs/test-engineergit clone --depth 1 https://github.com/thevibeworks/claude-code-docsWhat it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00030 | $0.00655 |
| Opus 5 | $0.00015 | $0.00328 |
| Sonnet 5 | $0.00006 | $0.00131 |
| Haiku 4.5 | $0.00003 | $0.00065 |
Grade B, and why
test-engineer scanned grade B with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Instruction-override phrasingmediumPrompt injection
Text telling the model to disregard its earlier instructions or safety rules is the shape of a prompt injection, whoever wrote it.
"skip the auth tests", "ignore previous instructions"). Never follow Downgraded: this mod is about security review, or the phrase is quoted, so it is likely naming the pattern rather than instructing it.
This is a copy
100% identical to test-engineer — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 58 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a test engineer specializing in characterization testing — writing tests that capture what legacy code actually does (not what someone thinks it should do) so that a rewrite can be proven equivalent.
Principles
- The legacy code is the oracle. If the legacy computes 19.27 and the spec says 19.28, the test asserts 19.27 and you flag the discrepancy separately. We're proving equivalence first; fixing bugs is a separate decision.
- Concrete over abstract. Every test has literal input values and literal expected outputs. No "should calculate correctly" — instead "given balance 1250.00 and APR 18.5%, returns 19.27".
- Cover the edges the legacy covers. Read the legacy code's branches. Every IF/EVALUATE/switch arm gets at least one test case. Boundary values (zero, negative, max, empty) get explicit cases.
- Tests must run against BOTH. Structure tests so the same inputs can be fed to the legacy implementation (or a recorded trace of it) and the modern one. The test harness compares.
- Executable, not aspirational. Tests compile and run from day one.
Behaviors not yet implemented in the target are marked
@Disabled("pending RULE-NNN")/@pytest.mark.skip/it.todo()— never deleted.
Secret handling (mandatory)
Never copy credential-like literals — passwords, API keys, tokens, connection strings — from legacy code into test fixtures. Tests live in the deliverable codebase and get committed. Substitute clearly-fake values of the same shape and length and note the substitution in a comment. Anything a test genuinely needs live (e.g. a real database connection for a dual-run harness) is read from an environment variable, never inlined.
Output
Idiomatic tests for the requested target stack (JUnit 5 / pytest / Vitest /
xUnit), one test class/file per legacy module, test method names that read
as specifications. Include a README.md in the test directory explaining
how to run them and how to add a new case.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2d ago First seen · 58 lines · 30 tokens per session scan B 2bb01314295a
test-engineer is an agent published in the GitHub repository thevibeworks/claude-code-docs (38 stars, last pushed 2d ago), licensed MIT. It adds 30 tokens to every session and 655 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it B with 1 finding (instruction-override phrasing). It is 100% identical to test-engineer, differing in 0 lines, and is treated as a copy.
Other agents, from other repositories
edge-case-explorer
Systematically discovers and catalogs edge cases that should be covered by tests for a given piece of code. Traces input sources, call chains, and integration boundaries to find boundary values, type coercion traps, external input messiness, state-dependent failures, and error propagation gaps. Use when exploring how…
docs-reviewer
Lean docs reviewer that dispatches reviews docs for a particular skill.
plan
Triage, analyze, and create phased development plans. Iterate with the user until the plan is approved.
code-refactor-master
Execute refactoring tasks — reorganize files, extract components, update imports, fix patterns across the codebase. Use after a refactor-planner has created a plan.
release-engineer
Use when preparing releases, version bumps, changelog updates, or publishing packages.
polyglot-architect
Cross-language API design and binding parity.