selfstudy_writer_agent

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

A drafting agent for institutional self-study and continuous-improvement sections, using a confirmed information matrix and evidence index. It limits factual claims to what the available evidence supports.

In plain words
What is it for?
It helps turn verified findings into traceable prose, check required inputs and version matches, and flag missing templates or evidence before drafting.
Why use it?
It prevents unsupported statements from appearing in accreditation documents and makes missing evidence visible instead of hiding it.

Agent for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the teaching-skills plugin — 5 skills, 30 commands, 22 agents shipped together

Good fit It helps turn verified findings into traceable prose, check required inputs and version matches, and flag missing templates or evidence before drafting.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/yujxzjcn/teaching-skills/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

Made for: Claude Code.

Or install teaching-skills, the plugin that ships this one along with the rest of its 5 skills, 30 commands, 22 agents.

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/selfstudy_writer_agent/github.svg)](https://agentmods.dev/agents/yujxzjcn/teaching-skills/selfstudy_writer_agent)
Your own site
<a href="https://agentmods.dev/agents/yujxzjcn/teaching-skills/selfstudy_writer_agent"><img src="https://agentmods.dev/badge/agents/yujxzjcn/teaching-skills/selfstudy_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 selfstudy_writer_agent

Your own site · 80×15
<a href="https://agentmods.dev/agents/yujxzjcn/teaching-skills/selfstudy_writer_agent"><img src="https://agentmods.dev/badge/agents/yujxzjcn/teaching-skills/selfstudy_writer_agent.svg" alt="Reviewed on agentmods" width="80" 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 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 $0.00034 $0.00899
Opus 5 $0.00017 $0.00449
Sonnet 5 $0.00007 $0.00180
Haiku 4.5 $0.00003 $0.00090

Measured 9d ago against content hash fa8b09f69450, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, 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 9d 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

Copies of this mod

1 near-identical copy found in the catalogue:

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. 9d 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 (26 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. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.