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 skills add bradtraversy/coding-with-ai-course-resources --skill researchgit clone --depth 1 https://github.com/bradtraversy/coding-with-ai-course-resourcesWrote 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/skills/bradtraversy/coding-with-ai-course-resources/research)<a href="https://agentmods.dev/skills/bradtraversy/coding-with-ai-course-resources/research"><img src="https://agentmods.dev/badge/skills/bradtraversy/coding-with-ai-course-resources/research.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 5.1 | $0.00009 | $0.00279 |
| Opus 5 | $0.00005 | $0.00139 |
| Sonnet 5 | $0.00002 | $0.00056 |
| Haiku 4.5 | $0.00001 | $0.00028 |
Grade A, and why
research 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.
What it actually says
Task
Execute research task: $ARGUMENTS
Instructions
- If no argument provided, error: "Usage: /research "
- Look for prompt file at
context/research/{$ARGUMENTS}.md - If not found, error: "Prompt file not found at context/research/{$ARGUMENTS}.md"
- Read the prompt file which should contain:
- Output: Where to write results (e.g.,
context/content-types.md) - Research: What to investigate
- Include: Specific details to capture
- Sources: What files/tools to use
- Output: Where to write results (e.g.,
- Execute the research using appropriate tools:
- Read files (Prisma schema, constants, components)
- Query database via Neon MCP if needed
- Search codebase for patterns
- Write findings to the specified output location
- Summarize what was discovered
Rules
- This command produces DOCUMENTATION only
- Do NOT modify source code files
- Do NOT create branches or commits
- Output should go to
/docs/unless otherwise specified - Use subagents for thorough exploration if needed
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.
- 8d ago First seen · 39 lines · 9 tokens per session scan A 34d40f153f5a
research is a skill published in the GitHub repository bradtraversy/coding-with-ai-course-resources (319 stars, last pushed 5mo ago), licensed MIT. It adds 9 tokens to every session and 279 once invoked, about $0.0000 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.
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