feedback-quality-analyser

feedback-quality-analyser is a skill for Claude Code from GarethManning/education-agent-skills. It costs 35 tokens per session (4,025 once invoked), scanned A, original, no licence file.

A written-feedback analyser that checks whether comments are specific, useful, actionable, and likely to improve learning.

In plain words
What is it for?
It is for reviewing teacher or peer feedback and improving feedback practices.
Why use it?
It helps identify feedback that is vague or does not tell the learner what to do next.

Skill for Claude Code

Written for Claude Code: disable-model-invocation in frontmatter.

Part of the education-agent-skills plugin — 165 skills shipped together

Good fit It is for reviewing teacher or peer feedback and improving feedback practices.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/garethmanning/education-agent-skills/feedback-quality-analyser
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 GarethManning/education-agent-skills --skill feedback-quality-analyser
Clone the repo
git clone --depth 1 https://github.com/GarethManning/education-agent-skills

Made for: Claude Code.

Or install education-agent-skills, the plugin that ships this one along with the rest of its 165 skills.

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 feedback-quality-analyser

README.md
[![agentmods](https://agentmods.dev/badge/skills/garethmanning/education-agent-skills/feedback-quality-analyser/github.svg)](https://agentmods.dev/skills/garethmanning/education-agent-skills/feedback-quality-analyser)
Your own site
<a href="https://agentmods.dev/skills/garethmanning/education-agent-skills/feedback-quality-analyser"><img src="https://agentmods.dev/badge/skills/garethmanning/education-agent-skills/feedback-quality-analyser/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 feedback-quality-analyser

Your own site · 80×15
<a href="https://agentmods.dev/skills/garethmanning/education-agent-skills/feedback-quality-analyser"><img src="https://agentmods.dev/badge/skills/garethmanning/education-agent-skills/feedback-quality-analyser.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 35 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,025 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 unknown 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 $0.00035 $0.04025
Opus 5.5 $0.00014 $0.01610
Sonnet 5.5 $0.00007 $0.00805
Haiku 4.5 $0.00003 $0.00402

Measured 1mo ago against content hash 1cf11373442d, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

feedback-quality-analyser 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 1mo 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/memory-learning-science/feedback-quality-analyser/SKILL.md · 230 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

Read it on GitHub

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. 1mo ago First seen · 230 lines · 35 tokens per session scan A 1cf11373442d

Subscribe to this mod's changes

feedback-quality-analyser is a skill published in the GitHub repository GarethManning/education-agent-skills (917 stars, last pushed 5d ago), with no licence file. It adds 35 tokens to every session and 4,025 once invoked, about $0.0001 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 2026-09-03.

Related

Other skills, from other repositories

edtech-expert

Expert in education technology, adaptive learning, student analytics, virtual classrooms, assessment tools, and learning management systems. Use when the user mentions education, e learning, lms, adaptive learning, student analytics, or virtual classroom, or when the task involves Learning Management Systems, Virtual…

personamanagmentlayer/pcl · 72 tokens

education-expert

Expert-level education technology, learning management systems, and ed-tech platforms. Use when the user mentions edtech, lms, e learning, or assessment, or when the task involves Educational Technology or Standards.

personamanagmentlayer/pcl · 45 tokens

teaching-pipeline

Full teaching-lifecycle orchestrator for university professors. 4-agent team driving the six sibling skills through staged gates over the Course Passport: design → alignment gate → build → assess → quality gate → semester delivery loop → reflection → next-term improvement. Resumable from the passport at any week of…

YujxZJCN/teaching-skills · 136 tokens

assessment-architect

Builds assessment instruments for university professors — pipeline Stage 3. 7-agent team covering test blueprints, exam/quiz/question-bank item writing, rubric design (analytic/holistic/single-point), TILT project briefs, AI-era integrity auditing, verified answer keys with worked solutions, and post-exam item…

YujxZJCN/teaching-skills · 149 tokens

student-mentor

During-semester student support for university professors. 5-agent team covering feedback on student work (Hattie & Timperley structured, single or batch), struggling-student intervention plans, recommendation letters with bias-aware language checks, difficult student communications, office-hours preparation, and…

YujxZJCN/teaching-skills · 160 tokens

accreditation-mapper

Accreditation and program-assessment documentation for university professors. 4-agent team covering outcome mapping (course LO → program outcome → standard criterion), evidence package assembly, gap analysis, and self-study drafting that never overstates what the evidence shows. Triggers on: accreditation, ABET…

YujxZJCN/teaching-skills · 127 tokens