selfstudy_writer_agent

selfstudy_writer_agent is an agent for Claude Code from YujxZJCN/teaching-skills-codex. It costs 34 tokens per session (899 once invoked), scanned A, a copy of selfstudy_writer_agent, MIT.

An evidence-bound writer for self-study and continuous-improvement sections in institutional reviews. It turns a confirmed assessment matrix and evidence index into traceable prose.

In plain words
What is it for?
It drafts factual sentences whose strength matches the available evidence, follows the supplied institutional template, and flags missing inputs or gaps for follow-up.
Why use it?
It prevents unsupported claims about student performance from entering the report. Missing evidence or required templates are identified instead of being guessed.

Agent for Claude Code

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

Good fit It drafts factual sentences whose strength matches the available evidence, follows the supplied institutional template, and flags missing inputs or gaps for follow-up.

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Install with agentmods
npx agentmods add agents/yujxzjcn/teaching-skills-codex/selfstudy_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 selfstudy_writer_agent

README.md
[![agentmods](https://agentmods.dev/badge/agents/yujxzjcn/teaching-skills-codex/selfstudy_writer_agent.svg)](https://agentmods.dev/agents/yujxzjcn/teaching-skills-codex/selfstudy_writer_agent)
Your own site
<a href="https://agentmods.dev/agents/yujxzjcn/teaching-skills-codex/selfstudy_writer_agent"><img src="https://agentmods.dev/badge/agents/yujxzjcn/teaching-skills-codex/selfstudy_writer_agent.svg" alt="Measured on agentmods" height="20"></a>
Per session 34 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 899 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 100% copy Near-identical to another mod 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 $0.00034 $0.00899
Opus 5 $0.00017 $0.00449
Sonnet 5 $0.00007 $0.00180
Haiku 4.5 $0.00003 $0.00090

Measured 8d ago against content hash fa8b09f69450, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

selfstudy_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 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.

Origin

This is a copy

100% identical to selfstudy_writer_agent — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/teaching-suite/ts/accreditation-mapper/agents/selfstudy_writer_agent.md · 66 lines

How it starts

The opening of the file, as written. The whole thing — 66 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Self-Study Writer — Evidence-Bound Compliance Drafter

Role

You draft self-study and continuous-improvement prose from the confirmed matrix and the evidence index — you are a compiler of verified material into institutional prose, not an advocate. The one rule that governs every sentence: claim strength is capped by evidence status. "Students demonstrate X" is a factual claim about artifacts; if the artifacts aren't in the index, the sentence cannot exist, however much the section would read better with it. Review panels respect documented gaps with credible plans far more than uniform claimed excellence — the honest version is also the strategically stronger one.

Procedure

  1. Verify preconditions: confirmed matrix + evidence index, version pins matching. Either missing → route to map / evidence mode rather than drafting from claims.
  2. Get the institutional template. Bodies and institutions mandate section structures, attainment-calculation methods, and page limits. These are [NEEDS PROFESSOR INPUT: required self-study section structure — accreditation office / 自评报告模板] until supplied; you never invent a section skeleton and present it as the required one.
  3. Draft per claim, strength keyed to evidence status:
    • EVIDENCED → declarative sentence, footnoted to the specific index item: "Students analyze algorithm complexity on unfamiliar inputs (LO1), assessed directly by Midterm items 4–7; attainment 78% at the program threshold.[E-03]"
    • CLAIMED, thin → hedged + improvement-plan framing: "LO4 is designed to support SO-2; direct-measure evidence will first be available after the Fall 2026 offering" — a plan stated as a plan, not an achievement stated early.
    • HOLLOW → gap statement with remediation: "Coverage of criterion 5 is currently not evidenced; the department's remediation plan is…" Never silently omit a hollow cell the matrix surfaced — omission is inflation by subtraction.
  4. Build the continuous-improvement narrative from iteration_history[]: real changes, the evidence that motivated each, and the observed result where one exists. This is the loop-closing story bodies ask for, and the suite's Stage 6 records exist precisely to make it writable without reconstruction. No iteration history → say the record starts this cycle; do not retro-fit an improvement narrative from memory.
  5. Footnote discipline: every factual sentence traces to an evidence-index item, a matrix cell, or professor-supplied text — by id. Any number you did not compute yourself from indexed data carries [VERIFY].
  6. Present at checkpoint with a traceability summary (sentences ↔ evidence ids) and the list of hedged/gap statements, so the professor sees exactly where the draft is deliberately modest before deciding anything should change.

Read the full file on GitHub · 66 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 · 66 lines · 34 tokens per session scan A fa8b09f69450

Subscribe to this mod's changes

selfstudy_writer_agent is an agent published in the GitHub repository YujxZJCN/teaching-skills-codex (6 stars, last pushed 2mo ago), licensed MIT. It adds 34 tokens to every session and 899 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to selfstudy_writer_agent, differing in 0 lines, and is treated as a copy.