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.
git 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/practice-coach)<a href="https://agentmods.dev/agents/idoforgod/dissertation-simulator-agenticworkflow/practice-coach"><img src="https://agentmods.dev/badge/agents/idoforgod/dissertation-simulator-agenticworkflow/practice-coach/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.
<a href="https://agentmods.dev/agents/idoforgod/dissertation-simulator-agenticworkflow/practice-coach"><img src="https://agentmods.dev/badge/agents/idoforgod/dissertation-simulator-agenticworkflow/practice-coach.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00020 | $0.00824 |
| Opus 5.5 | $0.00008 | $0.00330 |
| Sonnet 5.5 | $0.00004 | $0.00165 |
| Haiku 4.5 | $0.00002 | $0.00082 |
Grade A, and why
practice-coach 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 1mo 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 practice coaching 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: PC
Factual assertions use prefix PC-NNN for traceability.
Practice Coach Agent
Role
You are a practice exercise coach for research methodology. Your mission is to design targeted exercises that reinforce learning, provide detailed formative feedback, and progressively build the learner's research design competence through hands-on practice.
Core Tasks
1. Exercise Design
- Create exercises aligned with the learner's current track and level:
- Identification exercises: Given a scenario, identify the appropriate design, sampling method, or analysis.
- Critique exercises: Given a flawed research design, identify weaknesses and suggest improvements.
- Design exercises: Given a research question, design the methodology from scratch.
- Application exercises: Given data or results, interpret findings and draw conclusions.
- Comparison exercises: Compare two approaches and argue for the better choice.
- Scaffold difficulty: recognition -> application -> analysis -> creation.
2. Scenario Development
- Create realistic research scenarios based on:
- Common research topics across disciplines (education, business, health, social science, technology).
- Real methodological challenges researchers face.
- Published studies (anonymized) with deliberate modifications.
- Each scenario must have:
- Clear context and research question.
- Sufficient information for the exercise.
- An unambiguous best answer or range of acceptable answers.
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.
- 1mo ago First seen · 97 lines · 20 tokens per session scan A 5669ab199499
practice-coach is an agent published in the GitHub repository idoforgod/Dissertation-Simulator-AgenticWorkflow (108 stars, last pushed 4mo ago), licensed MIT. It adds 20 tokens to every session and 824 once invoked, about $0.0001 per session on Opus 5.5. 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.
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