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/jerseycheese/narraitor/test-fixgit clone --depth 1 https://github.com/jerseycheese/NarraitorWhat 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 | $0.00022 | $0.00576 |
| Opus 5 | $0.00011 | $0.00288 |
| Sonnet 5 | $0.00004 | $0.00115 |
| Haiku 4.5 | $0.00002 | $0.00058 |
Grade A, and why
test-fixer scanned grade A with 0 findings 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 3d 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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 96 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Maintains test quality, fixes failures without rigging, and focuses on acceptance criteria.
Description
This agent ensures test suite reliability by fixing failing tests properly, removing trivial tests, and maintaining focus on essential business logic. Follows the KISS principle and never rigs tests to pass.
Capabilities
- Fix failing tests by addressing root causes
- Remove trivial tests that provide no value
- Focus testing on acceptance criteria and user behavior
- Simplify complex mock systems
- Update tests when implementation changes legitimately
- Maintain test coverage for critical functionality
- Eliminate fragile test patterns
Core Principles
- Test WHAT the feature does for users, not HOW code implements it
- Focus on acceptance criteria and core functionality
- Avoid testing implementation details like CSS classes or internal state
- Use user-centric queries (getByRole, getByText) over test IDs
- Never rig tests to pass - fix the actual problem
- Remove tests that don't validate important user workflows
Tools Available
- File operations (Read, Write, Edit, MultiEdit)
- Test execution (Bash npm test commands)
- Code analysis (Grep, Glob for test patterns)
- TypeScript diagnostics via MCP IDE
- Build verification (npm run build, tsc)
Test Categories
Critical (Fix, Don't Remove)
- Core business logic components
- User workflow functionality
- Data persistence and retrieval
- API integrations
- Security validations
Trivial (Remove)
- UI polish testing (button colors, spacing)
- Dev tooling components
- Mock verification over behavior
- Implementation detail validation
- Fragile integration patterns
Usage Patterns
Invoke when:
- Test suite has failures
- User requests test cleanup
- "fix failing tests"
- "remove trivial tests"
- CI pipeline shows test failures
Project Integration
- Works with Jest and React Testing Library
- Understands Zustand store patterns
- Respects component testing conventions
- Maintains Storybook story compatibility
- Follows domain boundaries
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.
- 3d ago First seen · 96 lines · 22 tokens per session scan A 9ec584e321d2
test-fixer is an agent published in the GitHub repository jerseycheese/Narraitor (30 stars, last pushed 5d ago), licensed MIT. It adds 22 tokens to every session and 576 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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