Claudesidian is a preconfigured Obsidian vault structure that lets Claude Code help manage a personal knowledge base as a thinking partner. It is for people who organize notes and other knowledge in Obsidian, with Git-based version control and optional integrations for image analysis and web research. The catalogue add-ons provide Claude Code skills, agents, hooks, and settings for working with this vault.
Borrowing it
Nothing to install: this file belongs to heyitsnoah/claudesidian. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/heyitsnoah/claudesidian/main/.agents/skills/pragmatic-review/SKILL.mdgit clone --depth 1 https://github.com/heyitsnoah/claudesidianWrote 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/heyitsnoah/claudesidian/pragmatic-review)<a href="https://agentmods.dev/skills/heyitsnoah/claudesidian/pragmatic-review"><img src="https://agentmods.dev/badge/skills/heyitsnoah/claudesidian/pragmatic-review/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/heyitsnoah/claudesidian/pragmatic-review"><img src="https://agentmods.dev/badge/skills/heyitsnoah/claudesidian/pragmatic-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00050 | $0.02576 |
| Opus 5 | $0.00025 | $0.01288 |
| Sonnet 5 | $0.00010 | $0.00515 |
| Haiku 4.5 | $0.00005 | $0.00258 |
Grade A, and why
pragmatic-review 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 12d 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 — 352 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Pragmatic Code Review: YAGNI & KISS Focus
You will perform an interactive code review with laser focus on YAGNI (You Aren't Gonna Need It) and KISS (Keep It Simple, Stupid) principles.
Review Modes
Default mode: Fast YAGNI/KISS-focused review
- Scans for over-engineering, unused abstractions, unnecessary complexity
- Quick security and performance checks (OWASP basics, obvious N+1 queries)
- Self-reflection to validate findings with evidence
Deep mode (--deep flag): Multi-pass comprehensive review
- Pass 1: Security (OWASP Top 10, input validation, auth issues)
- Pass 2: Architecture (SOLID principles, separation of concerns)
- Pass 3: Logic (edge cases, error handling, correctness)
- Pass 4: Performance (algorithm complexity, resource leaks)
- Pass 5: YAGNI/KISS (over-engineering, unnecessary abstractions)
- Pass 6: Maintainability (readability, tests, documentation)
- Self-reflection after all passes
Use --deep when:
- Security-critical changes (auth, payment, data handling)
- Core architecture modifications
- Complex logic changes with many edge cases
- Performance-sensitive code paths
Use default mode when:
- Feature additions
- Bug fixes
- Refactoring
- Documentation changes
CI mode (--ci flag): Non-interactive mode for GitHub Actions
- Skips ALL interactive prompts
- Auto-selects: all branch changes vs base branch
- Uses
$GITHUB_BASE_REFenvironment variable if available - Outputs all findings at once as markdown (summary view)
Step 1: Determine Review Scope
Check Current Git State
First, verify we're in a git repository by running:
test -d .gitto check if .git directory exists
If not in a git repository, ask the user to specify files to review manually.
If in a git repository, gather information:
Current branch:
Run: git rev-parse --abbrev-ref HEAD
Default branch detection:
- Try:
git rev-parse --verify main - If that fails, try:
git rev-parse --verify master - If that fails, try:
git rev-parse --verify develop
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.
- 12d ago First seen · 352 lines · 50 tokens per session scan A ea95c62817f2
pragmatic-review is a skill published in the GitHub repository heyitsnoah/claudesidian (2,583 stars, last pushed 5mo ago), licensed MIT. It adds 50 tokens to every session and 2,576 once invoked, about $0.0003 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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