fixing-tests

fixing-tests is a skill for Claude Code, Codex from axiomantic/spellbook. It costs 90 tokens per session (2,172 once invoked), scanned A, original, MIT.

A guide for repairing tests that are broken, unreliable, outdated, or too weak to catch real failures. It distinguishes test problems from bugs in the production code.

In plain words
What is it for?
Use it to analyze failing tests, improve poor assertions, investigate flaky tests, or audit tests for misleading results.
Why use it?
It helps avoid changing application code just to make tests pass and avoids trusting a green test run that does not check the intended behavior.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions subagents.

Good fit Use it to analyze failing tests, improve poor assertions, investigate flaky tests, or audit tests for misleading results.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/axiomantic/spellbook/fixing-tests
Install

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.

Any agent
npx skills add axiomantic/spellbook --skill fixing-tests
Clone the repo
git clone --depth 1 https://github.com/axiomantic/spellbook

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for fixing-tests

README.md
[![agentmods](https://agentmods.dev/badge/skills/axiomantic/spellbook/fixing-tests/github.svg)](https://agentmods.dev/skills/axiomantic/spellbook/fixing-tests)
Your own site
<a href="https://agentmods.dev/skills/axiomantic/spellbook/fixing-tests"><img src="https://agentmods.dev/badge/skills/axiomantic/spellbook/fixing-tests/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for fixing-tests

Your own site · 80×15
<a href="https://agentmods.dev/skills/axiomantic/spellbook/fixing-tests"><img src="https://agentmods.dev/badge/skills/axiomantic/spellbook/fixing-tests.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 90 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,172 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Agent Snooping · line 94
    Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.
    Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00090 $0.02172
Opus 5.5 $0.00036 $0.00869
Sonnet 5.5 $0.00018 $0.00434
Haiku 4.5 $0.00009 $0.00217

Measured 1mo ago against content hash de59956edbfb, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

fixing-tests 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 1mo 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.

skills/fixing-tests/SKILL.md · 236 lines

How it starts

The opening of the file, as written. The whole thing — 236 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Fixing Tests

Invariant Principles

  1. Tests catch bugs, not checkmarks. Every fix must detect real failures, not just achieve green status.
  2. Production bugs are not test issues. Flag and escalate; never silently fix broken behavior.
  3. Read before fixing. Read the test file AND the production file under test. Never guess.
  4. Verify proves value. Unverified fixes are unfinished fixes.
  5. Scope discipline. Fix tests, not features.

Inputs

Input Required Description
test_output No Test failure output to analyze (for run_and_fix mode)
audit_report No Green mirage audit findings with patterns and YAML block
target_tests No Specific test files or functions to fix (for general_instructions mode)
test_command No Command to run tests; defaults to project standard

Input Modes

Detect mode from user input, build work items accordingly.

Mode Detection Action
audit_report Structured findings with patterns 1-10, "GREEN MIRAGE" verdicts, YAML block Parse YAML, extract findings. Read patterns/assertion-quality-standard.md for assertion quality gate and Full Assertion Principle.
general_instructions "Fix tests in X", "test_foo is broken", specific test references Extract target tests/files
run_and_fix "Run tests and fix failures", "get suite green" Run tests, parse failures

If unclear: ask user to clarify target.

WorkItem Schema

interface WorkItem {
  id: string;                           // "finding-1", "failure-1", etc.
  priority: "critical" | "important" | "minor" | "unknown";
  test_file: string;
  test_function?: string;
  line_number?: number;
  pattern?: number;                     // 1-10 from green mirage
  pattern_name?: string;
  current_code?: string;                // Problematic test code
  blind_spot?: string;                  // What broken code would pass
  suggested_fix?: string;               // From audit report
  production_file?: string;             // Related production code
  error_type?: "assertion" | "exception" | "timeout" | "skip";
  error_message?: string;
  expected?: string;
  actual?: string;
}

Read the full file on GitHub · 236 lines

Changes

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.

  1. 1mo ago First seen · 236 lines · 90 tokens per session scan A de59956edbfb

Subscribe to this mod's changes

fixing-tests is a skill published in the GitHub repository axiomantic/spellbook (10 stars, last pushed 2d ago), licensed MIT. It adds 90 tokens to every session and 2,172 once invoked, about $0.0004 per session on Opus 5.5. 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 2026-09-03.

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