Claude With Skills is a progressive course that teaches developers to create reusable, portable Agent Skills for Claude Code, from basic SKILL.md files to advanced automation and plugin packaging. It is intended for developers who want repeatable instructions and workflows instead of repeatedly pasting the same guidance. The catalogue contains the course's skills, agents, and instruction.
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 davila7/claude-with-skills --skill readonly-researchgit clone --depth 1 https://github.com/davila7/claude-with-skillsWrote 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/davila7/claude-with-skills/readonly-research)<a href="https://agentmods.dev/skills/davila7/claude-with-skills/readonly-research"><img src="https://agentmods.dev/badge/skills/davila7/claude-with-skills/readonly-research/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/skills/davila7/claude-with-skills/readonly-research"><img src="https://agentmods.dev/badge/skills/davila7/claude-with-skills/readonly-research.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 | $0.00031 | $0.00523 |
| Opus 5 | $0.00015 | $0.00262 |
| Sonnet 5 | $0.00006 | $0.00105 |
| Haiku 4.5 | $0.00003 | $0.00052 |
Grade A, and why
readonly-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 11d 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
Codebase research
Research the codebase to answer the question or complete the investigation. Do not modify any files. Do not create files. Do not run tests or build commands.
Step 1: Clarify the question
If $ARGUMENTS is empty or ambiguous, state the research question you are answering before proceeding. If the question is clear, proceed directly.
Step 2: Search for relevant files
Start broad, then narrow. Use a combination of approaches:
grep -r "<term>" --include="*.ts" --include="*.js" -lto find files containing a keywordglob("src/**/*.ts")or similar to list files in a known areafind . -name "<filename>" -not -path "*/node_modules/*"for specific filenames
Search for the primary concept, then for related symbols, then for tests that exercise the relevant code.
Step 3: Read the most relevant files
Read the files that are most likely to answer the question. Prioritize:
- The module or function directly named in the question
- Its callers and dependents (to understand how it is used)
- Its tests (to understand expected behavior)
- Any relevant configuration or type definitions
Avoid reading files speculatively. Only read a file if there is a specific reason it could answer the question.
Step 4: Check git history if relevant
If the question is about why something is the way it is, or when a change was made, use:
git log --oneline --follow -20 <file>
git show <commit-hash>
Step 5: Synthesize findings
Present a clear answer to the research question with:
- The specific answer (yes/no, the function name, the file path, etc.)
- Supporting evidence with file:line references for every specific claim
- Areas of uncertainty: files you could not access, code paths you could not trace, or ambiguities in the implementation
Format the response for the user's question, not as a generic research report. If the user asked "where is the auth logic?", answer that directly, then provide supporting detail.
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.
- 11d ago First seen · 53 lines · 31 tokens per session scan A 6cc9ebba24ff
readonly-research is a skill published in the GitHub repository davila7/claude-with-skills (12 stars, last pushed 3mo ago), licensed MIT. It adds 31 tokens to every session and 523 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.
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