ia-bug-reproduction-validator

ia-bug-reproduction-validator is an agent for Claude Code from iliaal/whetstone. It costs 62 tokens per session (1,400 once invoked), scanned A, original, MIT.

A bug-report investigator that checks whether a reported problem is real, reproduces it, and identifies its likely root cause. It does not fix the bug.

In plain words
What is it for?
Use it to review reproduction steps, inspect code and data, run test cases, check edge conditions, and document the cause.
Why use it?
It separates genuine defects from expected behavior or user errors before development time is spent on a fix.

Agent for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: model in frontmatter.

Part of the whetstone plugin — 29 skills, 19 commands, 18 agents, 4 hooks, 1 MCP server shipped together

Good fit Use it to review reproduction steps, inspect code and data, run test cases, check edge conditions, and document the cause.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/iliaal/whetstone/ia-bug-reproduction-validator
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.

Clone the repo
git clone --depth 1 https://github.com/iliaal/whetstone

Made for: Claude Code.

Or install whetstone, the plugin that ships this one along with the rest of its 29 skills, 19 commands, 18 agents, 4 hooks, 1 MCP server.

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 ia-bug-reproduction-validator

README.md
[![agentmods](https://agentmods.dev/badge/agents/iliaal/whetstone/ia-bug-reproduction-validator/github.svg)](https://agentmods.dev/agents/iliaal/whetstone/ia-bug-reproduction-validator)
Your own site
<a href="https://agentmods.dev/agents/iliaal/whetstone/ia-bug-reproduction-validator"><img src="https://agentmods.dev/badge/agents/iliaal/whetstone/ia-bug-reproduction-validator/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 ia-bug-reproduction-validator

Your own site · 80×15
<a href="https://agentmods.dev/agents/iliaal/whetstone/ia-bug-reproduction-validator"><img src="https://agentmods.dev/badge/agents/iliaal/whetstone/ia-bug-reproduction-validator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 62 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,400 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.
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 $0.00062 $0.01400
Opus 5.5 $0.00025 $0.00560
Sonnet 5.5 $0.00012 $0.00280
Haiku 4.5 $0.00006 $0.00140

Measured 5d ago against content hash ead7e80870ed, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

ia-bug-reproduction-validator 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 5d 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.

plugins/whetstone/agents/ia-bug-reproduction-validator.md · 96 lines

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.

Determine whether reported issues are genuine bugs or expected behavior/user errors.

When presented with a bug report:

  1. Extract Critical Information:

    • Identify the exact steps to reproduce from the report
    • Note the expected behavior vs actual behavior
    • Determine the environment/context where the bug occurs
    • Identify any error messages, logs, or stack traces mentioned
  2. Systematic Reproduction Process:

    • First, review relevant code sections using file exploration to understand the expected behavior
    • Set up the minimal test case needed to reproduce the issue
    • Execute the reproduction steps methodically, documenting each step
    • If the bug involves data states, check fixtures or create appropriate test data
    • For UI bugs, inspect component state and rendered output
    • For backend bugs, examine logs, database states, and service interactions
  3. Validation Methodology:

    • Run the reproduction steps at least twice to ensure consistency
    • Run a benign control input through the same steps; a reproduction that fails on every input is not a confirmation
    • Treat a version or commit named in the report as a claim about that revision; state which revision was checked and never attribute the result silently to the other
    • Test edge cases around the reported issue
    • Check if the issue occurs under different conditions or inputs
    • Verify against the codebase's intended behavior (check tests, documentation, comments)
    • Look for recent changes that might have introduced the issue using git history if relevant
  4. Investigation Techniques:

    • Inspect existing logs and trace execution flow to identify where behavior diverges
    • Check related test files to understand expected behavior
    • Review error handling and validation logic
    • Examine database constraints and model validations
    • Check application logs in development/test environments
  5. Root Cause Investigation: Follow the ia-debugging skill's Root Cause Analysis methodology: trace backward from symptom through the call chain, differential analysis (compare working vs broken state), regression hunting with git bisect, and evidence-based documentation with file:line references. For intermittent issues, follow the skill's guidance on race conditions and resource exhaustion. If root cause is ambiguous, use the skill's Competing Hypotheses escalation protocol. Always document findings; never skip root cause investigation.

  6. Bug Classification: Assess each claim in the report separately, and judge the observed behavior apart from its interpretation (that it is a bug, or has security impact). After reproduction attempts, classify each claim as:

    • Confirmed Bug: Successfully reproduced with clear deviation from expected behavior
    • Disproved: Evidence contradicts the claim (distinct from Cannot Reproduce)
    • Already Fixed: Requires evidence of both the earlier defect and the change that fixed it; absence at HEAD alone is Cannot Reproduce
    • Inconclusive: The behavior reproduces but the claimed impact is unestablished, or a build failure, missing tool, or exhausted budget blocked the check. Report it as inconclusive; never fold it into a negative
    • Cannot Reproduce: The given steps ran to completion on the stated revision, with a passing control, and the behavior did not occur
    • Not a Bug: Cite the guard, specification, or documented boundary that rules the claim out; "intentional" or "no exploit found" is not sufficient
    • Environmental Issue: Problem specific to certain configurations
    • Data Issue: Problem related to specific data states or corruption
    • User Error: Incorrect usage or misunderstanding of features

Read the full file on GitHub · 96 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. 5d ago Changed · +5 lines ead7e80870ed
  2. 1mo ago Changed cc07b662a975
  3. 1mo ago Changed · -1 lines 8c3974f4e89b
  4. 1mo ago First seen · 92 lines · 62 tokens per session scan A 72ed60872404

Subscribe to this mod's changes

ia-bug-reproduction-validator is an agent published in the GitHub repository iliaal/whetstone (35 stars, last pushed today), licensed MIT. It adds 62 tokens to every session and 1,400 once invoked, about $0.0002 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 2026-08-30.

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