Coach
nagisanzenin/engram
Learning telemetry, strategy, and schedule — retention stats, calibration, grader audit, n-of-1 experiments, HTML dashboard.
Analyse existing written feedback for quality, specificity, actionability, and impact on student learning.
Install Feedback Quality Analyser
$ npx skills add GarethManning/education-agent-skills --skill feedback-quality-analyser -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install GarethManning/education-agent-skills feedback-quality-analyser --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/GarethManning/education-agent-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/memory-learning-science/feedback-quality-analyser .claude/skills/feedback-quality-analyser && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "feedback-quality-analyser" agent skill from https://github.com/GarethManning/education-agent-skills/tree/main/skills/memory-learning-science/feedback-quality-analyser into .claude/skills/feedback-quality-analyser/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "feedback-quality-analyser", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/GarethManning/education-agent-skills/tree/main/skills/memory-learning-science/feedback-quality-analyserType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add GarethManning/education-agent-skills --skill feedback-quality-analyser -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install GarethManning/education-agent-skills feedback-quality-analyser --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/GarethManning/education-agent-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/memory-learning-science/feedback-quality-analyser .agents/skills/feedback-quality-analyser && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "feedback-quality-analyser" agent skill from https://github.com/GarethManning/education-agent-skills/tree/main/skills/memory-learning-science/feedback-quality-analyser into .agents/skills/feedback-quality-analyser/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "feedback-quality-analyser", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add GarethManning/education-agent-skills --skill feedback-quality-analyser -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install GarethManning/education-agent-skills feedback-quality-analyser --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/GarethManning/education-agent-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/memory-learning-science/feedback-quality-analyser .cursor/skills/feedback-quality-analyser && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "feedback-quality-analyser" agent skill from https://github.com/GarethManning/education-agent-skills/tree/main/skills/memory-learning-science/feedback-quality-analyser into .cursor/skills/feedback-quality-analyser/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "feedback-quality-analyser", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/GarethManning/education-agent-skills.git --path skills/memory-learning-science/feedback-quality-analyser--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add GarethManning/education-agent-skills --skill feedback-quality-analyser -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install GarethManning/education-agent-skills feedback-quality-analyser --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/GarethManning/education-agent-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/memory-learning-science/feedback-quality-analyser .gemini/skills/feedback-quality-analyser && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "feedback-quality-analyser" agent skill from https://github.com/GarethManning/education-agent-skills/tree/main/skills/memory-learning-science/feedback-quality-analyser into .gemini/skills/feedback-quality-analyser/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "feedback-quality-analyser", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install GarethManning/education-agent-skills feedback-quality-analyserInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add GarethManning/education-agent-skills --skill feedback-quality-analyser -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/GarethManning/education-agent-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/memory-learning-science/feedback-quality-analyser .github/skills/feedback-quality-analyser && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "feedback-quality-analyser" agent skill from https://github.com/GarethManning/education-agent-skills/tree/main/skills/memory-learning-science/feedback-quality-analyser into .github/skills/feedback-quality-analyser/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "feedback-quality-analyser", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add GarethManning/education-agent-skills --skill feedback-quality-analyser -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install GarethManning/education-agent-skills feedback-quality-analyser --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/GarethManning/education-agent-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/memory-learning-science/feedback-quality-analyser .opencode/skills/feedback-quality-analyser && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "feedback-quality-analyser" agent skill from https://github.com/GarethManning/education-agent-skills/tree/main/skills/memory-learning-science/feedback-quality-analyser into .opencode/skills/feedback-quality-analyser/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "feedback-quality-analyser", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
feedback-quality-analyser- GitHub stars
- 840
- Token cost
- ~4.7k tokens
- SKILL.md length
- 1,600 words
- Files
- 1
- Skills in repo
- 160
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Analyse existing written feedback for quality, specificity, actionability, and impact on student learning.
- Works in 5 steps: "Good effort" is self-level feedback. It… → "Some really nice points" is unspecified… → "You need to work on your analysis — try… → …
- Reviewing teacher
- SKILL.md covers What This Skill Does, Evidence Foundation, Input Schema and Prompt, plus 3 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Feedback Quality Analyser is an agent skill from GarethManning/education-agent-skills. Analyse existing written feedback for quality, specificity, actionability, and impact on student learning. Use when reviewing teacher or peer feedback to improve feedback practices.
Its SKILL.md is about 4.7k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Education, covering Performance reviews. The repository describes itself as: 165 evidence-grounded AI skills for teachers, school leaders and EdTech builders—pedagogy, learning science, curriculum, assessment and regeneration. Claude, Codex and Hermes.
When your agent uses it
- Reviewing teacher
- Peer feedback to improve feedback practices
Example prompts
- “/feedback-quality-analyser”
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- "Good effort" is self-level feedback. It addresses Priya's effort (a personal quality), not her work. It provides no information about…
- "Some really nice points" is unspecified task-level feedback. Which points? What made them effective? Without specificity, Priya can't…
- "You need to work on your analysis — try to go deeper" is vague feed-forward. This is the most common feedback failure in secondary…
- "Your writing style is lovely" is self-level feedback with a gender dimension. It compliments Priya as a writer rather than identifying…
- "6/10" is a judgment, not feedback. Butler (1988) found that when comments are accompanied by grades, students attend to the grade and…
What it can do on your machine
Read from SKILL.md and the folder at commit 6bbbce4. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Feedback Quality Analyser loads about 4.7k tokens when it runs. Until then it costs about 52 tokens; SKILL.md has 1,600 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 1,600 words (~4,658 tokens).
“Takes a piece of teacher or peer feedback, analyses it against Hattie & Timperley's (2007) four-level feedback model, and rewrites it to improve its level, specificity, and actionability. The analysis identifies whether the feedback operates at the task, process, self-regulation…”
- name
- feedback-quality-analyser
- disable-model-invocation
- false
- user-invocable
- true
- effort
- medium
- skill_id
- memory-learning-science/feedback-quality-analyser
- skill_name
- Feedback Quality Analyser & Rewriter
- domain
- memory-learning-science
- version
- 1.0
- evidence_strength
- strong
- evidence_sources
- Hattie & Timperley (2007) — The power of feedback: a meta-analysis (effect size ~0.73), Shute (2008) — Focus on formative feedback: a review of the research…
- output_schema.type
- object
Files
Just SKILL.md in skills/memory-learning-science/feedback-quality-analyser of GarethManning/education-agent-skills.
Open the folder on GitHubat commit 6bbbce4
Compare with similar skills
Feedback Quality Analyser next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Feedback Quality Analyser this skillGarethManning/education-agent-skills | 840 | — | ~4.7k | Automated safety check: Pass | Custom licence | |
| Coachnagisanzenin/engram | 1.4k | — | ~10k | Automated safety check: Pass | MIT | |
| Evaluator CalibrationArchive228/loopkit | 755 | — | ~1.1k | Automated safety check: Pass | MIT | |
| Scoringxiaolai/nlpm | 150 | — | ~5.3k | Automated safety check: Pass | ISC | |
| Hwb Review Paperxieyouxixi/hwb-math-modeling-skills | 197 | — | ~3.2k | Automated safety check: Pass | None | |
| Design AI BenchmarkingAperivue/medsci-skills | 333 | — | ~2.4k | Automated safety check: Pass | MIT |
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Calibrate a reviewer persona with few-shot rubric examples so skepticism stays consistent and doesn't drift lenient over long runs.
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100-point NL artifact rubric: penalty tables per artifact type, calibration cases.
Hwb Review Paper
xieyouxixi/hwb-math-modeling-skills
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A skill your agent uses when designing a study that benchmarks AI systems against a human-expert panel, before data collection.
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Related
Categories
Questions about Feedback Quality Analyser
What does Feedback Quality Analyser do?
Analyse existing written feedback for quality, specificity, actionability, and impact on student learning. Feedback Quality Analyser is an agent skill from GarethManning/education-agent-skills. Analyse existing written feedback for quality, specificity, actionability, and impact on student learning.
When should I use Feedback Quality Analyser?
Feedback Quality Analyser fits situations like: reviewing teacher; peer feedback to improve feedback practices.
How do I install Feedback Quality Analyser in Claude Code?
Run `npx skills add GarethManning/education-agent-skills --skill feedback-quality-analyser -a claude-code`. Or copy the skill folder (skills/memory-learning-science/feedback-quality-analyser in GarethManning/education-agent-skills) into .claude/skills/feedback-quality-analyser in your project. Claude Code loads it when a task matches its description.
How do I install Feedback Quality Analyser in Codex?
Run `npx skills add GarethManning/education-agent-skills --skill feedback-quality-analyser -a codex`. Or copy the skill folder (skills/memory-learning-science/feedback-quality-analyser in GarethManning/education-agent-skills) into .agents/skills/feedback-quality-analyser in your project. Codex loads it when a task matches its description.
Can I use Feedback Quality Analyser in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add GarethManning/education-agent-skills --skill feedback-quality-analyser -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/feedback-quality-analyser, .gemini/skills/feedback-quality-analyser, .github/skills/feedback-quality-analyser and .opencode/skills/feedback-quality-analyser in your project.
What does Feedback Quality Analyser need to run?
SKILL.md names no scripts, command-line tools or credentials: Feedback Quality Analyser is instructions for the agent only.
Does Feedback Quality Analyser access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Feedback Quality Analyser safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Feedback Quality Analyser use?
Feedback Quality Analyser has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
How many tokens does Feedback Quality Analyser use?
About 4.7k tokens (SKILL.md is roughly 19k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Feedback Quality Analyser?
Skills that share tags, products or a category with Feedback Quality Analyser: Coach (nagisanzenin/engram, 1.4k stars), Evaluator Calibration (Archive228/loopkit, 755 stars), Scoring (xiaolai/nlpm, 150 stars) and Hwb Review Paper (xieyouxixi/hwb-math-modeling-skills, 197 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Feedback Quality Analyser?
GarethManning (a GitHub user) maintains it in GarethManning/education-agent-skills, which has 840 GitHub stars. The repository holds 160 skills in this directory. The repository was last updated on August 28, 2026.
Source: GarethManning/education-agent-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.