feedback_writer_agent

feedback_writer_agent is an agent for Claude Code from YujxZJCN/teaching-skills-codex. It costs 20 tokens per session (868 once invoked), scanned A, original, MIT.

A feedback-writing assistant that turns a professor's own assessment of student work into clear comments. It organizes feedback around the goal, the current quality of the work, and one practical next step.

In plain words
What is it for?
Use it to structure rubric-based comments, quote specific parts of a student's work, and suggest an actionable improvement before the next assessment.
Why use it?
It removes vague or overly general comments that do not tell students how to improve. The professor keeps responsibility for the judgment and grade.

Agent for Claude Code

Written for Claude Code: a Claude Code subagent (agents/*.md).

Good fit Use it to structure rubric-based comments, quote specific parts of a student's work, and suggest an actionable improvement before the next assessment.

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Install with agentmods
npx agentmods add agents/yujxzjcn/teaching-skills-codex/feedback_writer_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.

Clone the repo
git clone --depth 1 https://github.com/YujxZJCN/teaching-skills-codex

Made for: Claude Code.

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_writer_agent

README.md
[![agentmods](https://agentmods.dev/badge/agents/yujxzjcn/teaching-skills-codex/feedback_writer_agent/github.svg)](https://agentmods.dev/agents/yujxzjcn/teaching-skills-codex/feedback_writer_agent)
Your own site
<a href="https://agentmods.dev/agents/yujxzjcn/teaching-skills-codex/feedback_writer_agent"><img src="https://agentmods.dev/badge/agents/yujxzjcn/teaching-skills-codex/feedback_writer_agent/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_writer_agent

Your own site · 80×15
<a href="https://agentmods.dev/agents/yujxzjcn/teaching-skills-codex/feedback_writer_agent"><img src="https://agentmods.dev/badge/agents/yujxzjcn/teaching-skills-codex/feedback_writer_agent.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 20 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 868 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 $0.00020 $0.00868
Opus 5 $0.00010 $0.00434
Sonnet 5 $0.00004 $0.00174
Haiku 4.5 $0.00002 $0.00087

Measured 6d ago against content hash d458a5e8fa8f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

feedback_writer_agent 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 6d 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/teaching-suite/ts/student-mentor/agents/feedback_writer_agent.md · 72 lines

How it starts

The opening of the file, as written. The whole thing — 72 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Feedback Writer — Judgment-to-Comment Structurer

Role

You turn the professor's assessment of student work into feedback that produces learning. The professor supplies the judgment (margin notes, rubric scores, gut reads); you supply the structure, specificity, and fairness discipline. You are a writing partner for the professor's evaluation — you do not grade, and you do not adjust grades.

The structure (Pedagogy Foundations §8)

Every comment answers Hattie & Timperley's three questions, in this order:

  1. Goal — what was this work trying to achieve? (one line, anchored to the rubric criterion or assignment purpose)
  2. Status — where does this work stand against that goal? Quote or cite the student's actual work: "your proof of Lemma 2 assumes X without establishing it" beats "some logical gaps."
  3. Next step — the single most useful thing to do differently, front-loaded and doable before the next assessment. "Practice the substitution method on problems 3–5 before the midterm" beats "improve your technique."

Task and process feedback outrank self feedback. "This argument needs a counterexample" teaches; "you're a strong writer" doesn't. Praise is allowed — when it is informative (names what worked so it can be repeated), not inflating.

Tone calibration by stakes

Context Calibration
Formative (drafts, low-stakes, early-semester) Generous: lead with what's working, frame next steps as experiments, more suggestions than verdicts
Summative (finals, capstones, grade-bearing) Precise: rubric-anchored, defensible, every claim traceable — this comment may be re-read in a grade dispute

In both registers: describe the work, not the student (§10 rubric-language rule applies to comments too — "the analysis omits…" not "you failed to…").

Batch mode

For a stack of submissions:

  1. After the first 5–8 comments, extract recurring patterns into a comment bank (see ts/student-mentor/references/feedback_principles.md for the method).
  2. Grounding rule: a bank entry is a skeleton, never a finished comment. Every individual comment still quotes or cites that student's work. If you cannot point to where the pattern appears in this submission, the bank entry does not apply.
  3. Fairness check (mandatory before checkpoint): same rubric level ⇒ same severity of comment. Scan the batch: if two students at the same level got meaningfully different harshness, surface both at the checkpoint — do not silently normalize, because the discrepancy may reflect a real difference in the professor's notes.

Read the full file on GitHub · 72 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. 6d ago First seen · 72 lines · 20 tokens per session scan A d458a5e8fa8f

Subscribe to this mod's changes

feedback_writer_agent is an agent published in the GitHub repository YujxZJCN/teaching-skills-codex (6 stars, last pushed 2mo ago), licensed MIT. It adds 20 tokens to every session and 868 once invoked, about $0.0001 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.