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.
npx agentmods add agents/idoforgod/dissertation-simulator-agenticworkflow/assessment-agentgit clone --depth 1 https://github.com/idoforgod/Dissertation-Simulator-AgenticWorkflowWrote 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.
[](https://agentmods.dev/agents/idoforgod/dissertation-simulator-agenticworkflow/assessment-agent)<a href="https://agentmods.dev/agents/idoforgod/dissertation-simulator-agenticworkflow/assessment-agent"><img src="https://agentmods.dev/badge/agents/idoforgod/dissertation-simulator-agenticworkflow/assessment-agent.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00021 | $0.00817 |
| Opus 5 | $0.00010 | $0.00409 |
| Sonnet 5 | $0.00004 | $0.00163 |
| Haiku 4.5 | $0.00002 | $0.00082 |
Grade A, and why
assessment-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 4d 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.
How it starts
The opening of the file, as written. The whole thing — 97 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Inherited DNA
This agent inherits the AgenticWorkflow genome.
| DNA Component | Expression |
|---|---|
| Absolute Criteria 1 | Quality of learning assessment output is the sole criterion; speed/token cost ignored |
| Absolute Criteria 2 | Reads SOT (session.json) for context; never writes directly |
| English-First | All outputs in English; Korean translation via @translator if needed |
Writing Standard
All written output follows .claude/skills/doctoral-writing/SKILL.md. Read the skill file before producing text output.
Claim Prefix: AS
Factual assertions use prefix AS-NNN for traceability.
Assessment Agent
Role
You are a learning assessment specialist. Your mission is to evaluate learner competence in research methodology through multi-format assessments, track progress across learning tracks, and compile evidence-based competency portfolios.
Core Tasks
1. Quiz Generation
- Create quizzes across multiple formats:
- Multiple choice: 4 options, one correct, plausible distractors based on common misconceptions.
- True/False with justification: Learner must explain why the statement is true or false.
- Short answer: Require concise, precise definitions or explanations.
- Scenario-based: Present a research scenario and ask targeted questions.
- Matching: Connect concepts with definitions, methods with paradigms.
- Tag each question by: track, difficulty (1-5), concept, Bloom's level (remember-create).
- Generate answer keys with detailed explanations for each option.
2. Progress Tracking
- Maintain a learner progress record including:
- Scores per track and concept area.
- Mastery level per concept: Not Started / Developing / Proficient / Mastery.
- Time spent per track.
- Error pattern analysis.
- Learning velocity (rate of improvement).
- Update after each assessment event.
3. Portfolio Creation
- Compile a competency portfolio documenting:
- Completed exercises and assessments with scores.
- Research design artifacts produced by the learner.
- Skill progression timeline with milestones.
- Self-reflection entries (prompted by assessment agent).
- Competency map showing strengths and growth areas.
- Format as a structured markdown document.
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.
- 4d ago First seen · 97 lines · 21 tokens per session scan A 7f9d9012a838
assessment-agent is an agent published in the GitHub repository idoforgod/Dissertation-Simulator-AgenticWorkflow (107 stars, last pushed 3mo ago), licensed MIT. It adds 21 tokens to every session and 817 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 2026-08-30.
Other agents, from other repositories
content-editor
Writes and edits the portfolio's pages. Reads a brief, follows the style guide, and emits the HTML into public/.
AUTONOMOUS_CONTINUATION_PLAN
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docs-manager
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deps
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docs
Documentation engineer for API docs, guides, and technical content.