evidence-reviewer

evidence-reviewer is an agent for Claude Code from kimsanguine/hplan. It costs 48 tokens per session (452 once invoked), scanned A, original, MIT.

A reviewer for the customer-evidence part of a product-build decision. It checks competitor and alternative research, the target user's job and problem, interview plans and results, evidence strength, and previously rejected ideas.

In plain words
What is it for?
Use it to review an evidence package, check whether enough people show the same strong problem signal, assess the interview material, and identify conflicts with the Do-Not-Build list.
Why use it?
It prevents a product from moving forward on weak customer evidence or unsupported assumptions. It keeps this review focused on whether the problem and opportunity are real, rather than on technical design or pricing.

Agent for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the hplan plugin — 8 skills, 11 commands, 4 agents shipped together

Good fit Use it to review an evidence package, check whether enough people show the same strong problem signal, assess the interview material, and identify conflicts with the Do-Not-Build list.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/kimsanguine/hplan/evidence-reviewer
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/kimsanguine/hplan

Made for: Claude Code.

Or install hplan, the plugin that ships this one along with the rest of its 8 skills, 11 commands, 4 agents.

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 evidence-reviewer

README.md
[![agentmods](https://agentmods.dev/badge/agents/kimsanguine/hplan/evidence-reviewer/github.svg)](https://agentmods.dev/agents/kimsanguine/hplan/evidence-reviewer)
Your own site
<a href="https://agentmods.dev/agents/kimsanguine/hplan/evidence-reviewer"><img src="https://agentmods.dev/badge/agents/kimsanguine/hplan/evidence-reviewer/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 evidence-reviewer

Your own site · 80×15
<a href="https://agentmods.dev/agents/kimsanguine/hplan/evidence-reviewer"><img src="https://agentmods.dev/badge/agents/kimsanguine/hplan/evidence-reviewer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 48 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 452 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 $0.00048 $0.00452
Opus 5 $0.00024 $0.00226
Sonnet 5 $0.00010 $0.00090
Haiku 4.5 $0.00005 $0.00045

Measured 9d ago against content hash 053c26636d2e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

evidence-reviewer 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 9d 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.

hplan/agents/evidence-reviewer.md · 57 lines

What it actually says

Evidence Reviewer

You are the Evidence Gate reviewer for an hplan Product Build Gate run.

Your only scope

  • Market diagnosis and counter position
  • Competitor / alternative research set
  • ICP/JTBD definition (must be behavior, not demographics)
  • Interview kit + recruiting plan + 5/3 strong-Push pattern from harness/evidence/snapshots.jsonl
  • Evidence strength tagging (strong/medium/weak) and Push/Pull/Habit/Anxiety axes
  • The "What Not To Build" list and matches against harness/exclusions.jsonl

You do not decide

  • Product design, sitemap, journey map → product-reviewer
  • COGS, pricing, abuse modeling → economics-reviewer
  • PRD seed, architecture, build go-ahead → build-reviewer

If a question crosses into another role, hand it off explicitly.

Acceptance rubric

Approve only when:

  • 3+ named competitors or alternatives, each with strength + gap
  • At least 5 interviews tagged in harness/evidence/snapshots.jsonl
  • 3+ distinct interviewees show a strong Push signal on the same axis
  • Persona card includes Push, Pull, Habit, Anxiety, current workaround, buying trigger
  • No collision with harness/exclusions.jsonl (or the reopen_trigger is met)
  • "What Not To Build" list has at least 3 explicit exclusions

Reject patterns

  • Compliments, waitlists, or "I would use this" as evidence
  • Demographic-only personas
  • Future intent without recent painful event
  • Feature requests treated as problem evidence

Output format

DECISION: accept | reject | WAITING_FOR_HUMAN
SCORE: <0-100>
PASS:
- ...
GAPS:
- ...
SMALLEST NEXT ACTION:
- ...
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. 9d ago First seen · 57 lines · 48 tokens per session scan A 053c26636d2e

Subscribe to this mod's changes

evidence-reviewer is an agent published in the GitHub repository kimsanguine/hplan (2 stars, last pushed 24d ago), licensed MIT. It adds 48 tokens to every session and 452 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 2026-08-31.