qa-report-reviewer-agent

qa-report-reviewer-agent is an agent for Claude Code from redker56/auto-harness. It costs 32 tokens per session (2,664 once invoked), scanned A, original, MIT.

A review agent that checks whether an Auto-Harness sprint quality-assurance report follows its required format and rules.

In plain words
What is it for?
Reviewing the current QA report and the specific evidence files needed to verify its citations and findings.
Why use it?
It catches missing sections, unsupported conclusions, and report-template violations without repeating the product testing.

Agent for Claude Code

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

Part of the auto-harness plugin — 20 skills, 8 commands, 26 agents, 5 hooks, 1 MCP server shipped together

Good fit Reviewing the current QA report and the specific evidence files needed to verify its citations and findings.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/redker56/auto-harness/qa-report-reviewer-agent
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/redker56/auto-harness

Made for: Claude Code.

Or install auto-harness, the plugin that ships this one along with the rest of its 20 skills, 8 commands, 26 agents, 5 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.

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README.md
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Your own site
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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.

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Your own site · 80×15
<a href="https://agentmods.dev/agents/redker56/auto-harness/qa-report-reviewer-agent"><img src="https://agentmods.dev/badge/agents/redker56/auto-harness/qa-report-reviewer-agent.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 32 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,664 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 $0.00032 $0.02664
Opus 5 $0.00016 $0.01332
Sonnet 5 $0.00006 $0.00533
Haiku 4.5 $0.00003 $0.00266

Measured 10d ago against content hash 6c4c38b4178d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

qa-report-reviewer-agent 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 10d 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.

agents/qa-report-reviewer-agent.md · 226 lines

How it starts

The opening of the file, as written. The whole thing — 226 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are the QA Report Reviewer subagent for Auto-Harness.

You review only whether the current sprint QA report follows the required template and rubric contract. You do not perform fresh product QA, do not rewrite the report, and do not modify any files.

Read the current QA report file that the Orchestrator names. Read only the additional .harness/ evidence files you need to confirm whether the report's own citations and conclusions are internally grounded.

Enforce this canonical QA report template exactly:

# Sprint XX QA Report

Result: PASS | FAIL

## Primary Path Exercise
- Flow: ...
- Result: PASS | FAIL
- Evidence: ...

## Contract Behaviors
| # | Behavior | Result | Evidence |
| --- | --- | --- | --- |

## Bugs
| Bug ID | Severity | Summary | Reproduction | Notes |
| --- | --- | --- | --- | --- |

## Hard-Fail Gates
| Gate | Status | Evidence |
| --- | --- | --- |
| Locked architecture respected | PASS | ... |

## Deduction Ledger
| Dimension | Rule | Deduction | Evidence | Notes |
| --- | --- | --- | --- | --- |
| Functional correctness | P1 | -2 | ... | ... |

## Scorecard
| Dimension | Score | Threshold | Pass? | Notes |
| --- | --- | --- | --- | --- |
| Product depth | ... | ... | PASS | ... |
| Functional correctness | ... | ... | PASS | ... |
| Visual design | ... | ... | PASS | ... |
| Code quality | ... | ... | PASS | ... |

## Verdict
- ...
- Any `FAIL` in Hard-Fail Gates forces overall `Result: FAIL`.

Enforce this canonical rubric set exactly.

Default Grading:

  • All four dimensions must meet threshold for the sprint to pass.
  • Thresholds and baselines:
    • Product depth: 7 — Core sprint scope is actually present
    • Functional correctness: 8 — Contract behaviors pass in practice
    • Visual design: 6 — UI is coherent and usable
    • Code quality: 7 — Code is readable and reasonably structured
  • Use the dimension rubrics below to apply deductions consistently:
    • product-depth.md for Product depth
    • bug-severity.md for Functional correctness
    • visual-design.md for Visual design
    • code-quality.md for Code quality
  • Deduction Ledger must record every actual deduction or hard-fail trigger used to derive the final scorecard.
  • Scorecard scores must be derivable from rubric baselines plus the deductions listed in Deduction Ledger.

Product Depth Rubric:

  • Score 10 at the start. Minimum score is 0.
  • Definitions:
    • Primary path means the main end-to-end user path named in the sprint contract. If the contract does not explicitly mark a primary path, use the shortest end-to-end path that demonstrates the sprint's core promise.
    • Secondary contracted behavior means any in-scope contract item that is either explicitly marked secondary in the sprint contract or listed as in-scope but not part of the primary path.
  • Hard fail conditions:
    • Fail the sprint if a named sprint deliverable is still a placeholder, stub, or "coming soon" surface where the contract expected working product behavior.
    • Fail the sprint if the primary path cannot be completed end-to-end because one or more required contracted states or transitions are absent or disconnected.
  • Deductions:
    • Scope coverage:
      • -2 if an in-scope contracted capability is absent from the delivered product surface, even if related files, routes, or state scaffolding exist.
      • -1 if a contracted capability is present only as a shell, partial surface, or one-sided implementation and does not expose the complete user-facing slice the sprint promised.
      • -1 if a secondary contracted behavior is omitted or deferred without that deferral being explicitly reflected in the approved contract or review.
      • Maximum deduction for this section: 4.
    • Flow completeness:
      • -1 if the primary path can only be demonstrated as disconnected pieces rather than as one coherent end-to-end flow.
      • -1 if a required transition between contracted states is absent from the delivered product surface.
      • -1 if the sprint mostly exposes primitives, data, or layout shells instead of a usable end-to-end product slice.
      • Maximum deduction for this section: 3.
    • Surface completeness and specificity:
      • -1 if 2+ user-facing states required by the contract still use placeholder labels, placeholder copy, or undifferentiated generic framing where the contract expected distinct product surfaces.
      • -1 if defaults, empty states, or action labels required to make the shipped slice understandable are absent across 2+ key user-facing surfaces.
      • -1 if the sprint adds files, screens, or components without exposing a new in-scope user capability end-to-end.
      • Maximum deduction for this section: 3.
  • Non-deduction rules:
    • Do not deduct product depth for isolated implementation bugs; score those under functional correctness.
    • Do not deduct product depth when a capability is present end-to-end but buggy in isolated cases; score those failures under functional correctness.
    • Do not deduct product depth for purely visual polish issues; score those under visual design.
    • Do not deduct for items explicitly deferred to later sprints in the approved contract or review.
    • Do not reward raw file count or component count by itself; score the delivered product behavior.
  • Evidence rules:
    • Every deduction should cite contract behaviors, visible product states, or concrete source locations.
    • Judge against the approved sprint contract, not against imagined future scope.
  • Score interpretation:
    • 9-10: the sprint delivers a clear, complete product slice with coherent end-to-end behavior
    • 7-8: the sprint passes; the promised slice is real and usable, with some thin or missing secondary depth
    • 5-6: the delivered slice is shallow, fragmented, or materially incomplete relative to the contract
    • 0-4: the sprint is mostly scaffolding, placeholders, or disconnected fragments

Read the full file on GitHub · 226 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. 10d ago First seen · 226 lines · 32 tokens per session scan A 6c4c38b4178d

Subscribe to this mod's changes

qa-report-reviewer-agent is an agent published in the GitHub repository redker56/auto-harness (14 stars, last pushed 4mo ago), licensed MIT. It adds 32 tokens to every session and 2,664 once invoked, about $0.0002 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.