narrative-quality-scorer

narrative-quality-scorer is a skill for Claude Code, Codex from mattmre/EVOKORE-MCP-PUBLIC. It costs 37 tokens per session (2,188 once invoked), scanned A, original, MIT.

A scoring tool that rates a phase plan, agent prompt, or CLAUDE.md file against patterns linked to efficient coding sessions. It returns a score and specific suggestions written as proposed text changes.

In plain words
What is it for?
Use it to score one prompt or file, review several phase specifications, and apply targeted improvements to the wording and structure.
Why use it?
It removes the need to judge agent instructions by intuition alone. Authors can see which parts are unclear, waste tokens, or make execution less efficient.

Skill for Claude CodeCodex

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

Good fit Use it to score one prompt or file, review several phase specifications, and apply targeted improvements to the wording and structure.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/mattmre/evokore-mcp-public/narrative-quality-scorer
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 mattmre/EVOKORE-MCP-PUBLIC --skill narrative-quality-scorer
Clone the repo
git clone --depth 1 https://github.com/mattmre/EVOKORE-MCP-PUBLIC

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 narrative-quality-scorer

README.md
[![agentmods](https://agentmods.dev/badge/skills/mattmre/evokore-mcp-public/narrative-quality-scorer/github.svg)](https://agentmods.dev/skills/mattmre/evokore-mcp-public/narrative-quality-scorer)
Your own site
<a href="https://agentmods.dev/skills/mattmre/evokore-mcp-public/narrative-quality-scorer"><img src="https://agentmods.dev/badge/skills/mattmre/evokore-mcp-public/narrative-quality-scorer/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 narrative-quality-scorer

Your own site · 80×15
<a href="https://agentmods.dev/skills/mattmre/evokore-mcp-public/narrative-quality-scorer"><img src="https://agentmods.dev/badge/skills/mattmre/evokore-mcp-public/narrative-quality-scorer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 37 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,188 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 $0.00037 $0.02188
Opus 5 $0.00018 $0.01094
Sonnet 5 $0.00007 $0.00438
Haiku 4.5 $0.00004 $0.00219

Measured 8d ago against content hash 3255b8a3b1ed, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

narrative-quality-scorer 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 8d 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/ORCHESTRATION FRAMEWORK/narrative-quality-scorer/SKILL.md · 283 lines

How it starts

The opening of the file, as written. The whole thing — 283 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Narrative Quality Scorer

Purpose

Given a prompt text or file path, score it against the structural efficiency patterns identified by session-retrospective-miner. Returns a quality score (0–100) and specific diff-style improvement suggestions with token-efficiency justification for each.

This is the per-prompt complement to session-retrospective-miner's cross-session aggregate view.


Input

Provide one of:

Option A — inline text:

Score this narrative:
"Implement Phase 312: Analytics Export Module.
 Read phase spec from 04-planning/phases/phase-312-analytics-export.md.
 Create branch phase-312-analytics-export from main.
 Implement: migration, entities, DTOs, service, controller, module."

Context: claudius-maximus-phase-implementation

Option B — file path:

Score the narrative at: 04-planning/phases/phase-312-analytics-export.md
Context: claudius-maximus-phase-implementation

Option C — batch:

Score all phase specs in: 04-planning/phases/
Context: claudius-maximus-phase-implementation
Output: summary table + worst-3 individual reports

Scoring Rubric

Each element is worth points because it correlates with measured session efficiency improvements. Scores are additive; maximum base score is 80, with up to +20 bonus points for a total of 100.

Element Points Efficiency Basis
Explicit insertion points (e.g., @AI:NAV anchors) +15 −8 turns avg per session when present
Acceptance criteria ("Done when X") +12 −8 turns avg per session when present
Explicit file paths to create/edit +10 −5 turns first-productive-turn
DB/convention reminders (PK type, column types) +8 Eliminates schema clarification loops (~23% of CM sessions)
Test commands specified +8 Reduces test-command clarification turns
Stop conditions for Agent spawns +10 −40% sub-agent turns when explicit
Anti-patterns explicitly excluded +7 Prevents known wrong paths
Branch naming convention +5 Baseline clarity
Module/feature type specified +5 Baseline clarity
Total possible 80 (+20 bonus for exceptional clarity)

Read the full file on GitHub · 283 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. 8d ago First seen · 283 lines · 37 tokens per session scan A 3255b8a3b1ed

Subscribe to this mod's changes

narrative-quality-scorer is a skill published in the GitHub repository mattmre/EVOKORE-MCP-PUBLIC (3 stars, last pushed 3mo ago), licensed MIT. It adds 37 tokens to every session and 2,188 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 2026-09-03.

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