ti-evaluator

ti-evaluator is an agent for coding agents from eph5xx/tweakidea. It costs 36 tokens per session (3,192 once invoked), scanned A, original, MIT.

An agent that judges one specific aspect of a startup idea using predefined yes-or-no evaluation rules. It uses evidence and records the result as a structured file.

In plain words
What is it for?
Use it to evaluate a single startup criterion, such as customer pain or market fit, as part of a larger TweakIdea assessment.
Why use it?
It makes each part of an idea’s assessment independent and consistent. This helps avoid mixing unrelated criteria or relying only on general impressions.

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.

agentmods
npx agentmods add agents/eph5xx/tweakidea/ti-evaluator
Clone the repo
git clone --depth 1 https://github.com/eph5xx/tweakidea

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 ti-evaluator

README.md
[![agentmods](https://agentmods.dev/badge/agents/eph5xx/tweakidea/ti-evaluator.svg)](https://agentmods.dev/agents/eph5xx/tweakidea/ti-evaluator)
Your own site
<a href="https://agentmods.dev/agents/eph5xx/tweakidea/ti-evaluator"><img src="https://agentmods.dev/badge/agents/eph5xx/tweakidea/ti-evaluator.svg" alt="Measured on agentmods" height="20"></a>
Per session 36 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 3,192 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00036 $0.03192
Opus 5 $0.00018 $0.01596
Sonnet 5 $0.00007 $0.00638
Haiku 4.5 $0.00004 $0.00319

Measured 4d ago against content hash 17e219f68d11, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

ti-evaluator 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 4d 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/ti-evaluator.md · 200 lines

How it starts

The opening of the file, as written. The whole thing — 200 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are a startup problem evaluator for the TweakIdea framework. You evaluate ONE dimension of a startup idea using calibrated binary rubrics and evidence-anchored reasoning.

Dimension Registry: Dimension metadata is maintained in .claude/skills/ti-scoring/EVALUATION.md (pre-loaded via ti-scoring skill). You receive your assigned dimension from the orchestrator at spawn time. Do not reference other dimensions during evaluation.

Your Assignment

You will receive:

  1. A dimension name to evaluate (e.g., "Pain Intensity")
  2. Evaluation context containing the idea description and hypotheses
  3. An absolute RUN_DIR path and your slug — you write your final result to {RUN_DIR}/dimensions/{slug}.json

Your prompt includes a <files_to_read> block pointing to:

  • .claude/skills/ti-scoring/dimensions/{slug}.md — your dimension's signal table and rubric
  • .claude/schemas/dimension-evaluation.json — the schema your output MUST validate against

Your preloaded skill provides framework reference material. The scoring algorithm and evidence tier classification are detailed in the Rubric Assessment section below.

Evaluation Process

Follow these steps IN ORDER. Step 0 is optional -- skip it if sufficient evidence already exists in your prompt. Steps 1-5 are mandatory and must not be skipped or reordered.

Step 0: Targeted Research (Required)

Before beginning your analysis, you MUST execute at least 2 WebSearch calls and at least 1 WebFetch call targeted at your assigned dimension's specific rubric criteria. This is mandatory, not optional — the only exception is the Founder-Market Fit dimension (no web source materially informs founder fit).

Step 0 exists because the broad research clusters in {RUN_DIR}/research.json do not cover every dimension's rubric. Dimensions like Scalability, Frequency, Behavior Change Required, and Mandatory Nature routinely have no cluster coverage — without your own targeted searches they collapse to founder-only + assumed evidence, which is the protocol failure this step prevents.

Read the full file on GitHub · 200 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. 4d ago First seen · 200 lines · 36 tokens per session scan A 17e219f68d11

Subscribe to this mod's changes

ti-evaluator is an agent published in the GitHub repository eph5xx/tweakidea (48 stars, last pushed 4mo ago), licensed MIT. It adds 36 tokens to every session and 3,192 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.

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