Borrowing it
Nothing to install: this file belongs to masondelan/selvedge. 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/masondelan/selvedge/main/CLAUDE.mdgit clone --depth 1 https://github.com/masondelan/selvedgeWrote 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/instructions/masondelan/selvedge/claude-md)<a href="https://agentmods.dev/instructions/masondelan/selvedge/claude-md"><img src="https://agentmods.dev/badge/instructions/masondelan/selvedge/claude-md/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/instructions/masondelan/selvedge/claude-md"><img src="https://agentmods.dev/badge/instructions/masondelan/selvedge/claude-md.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 | $0.01823 | $0.01823 |
| Opus 5 | $0.00911 | $0.00911 |
| Sonnet 5 | $0.00365 | $0.00365 |
| Haiku 4.5 | $0.00182 | $0.00182 |
Grade A, and why
selvedge CLAUDE.md 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 9d 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 — 81 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md — Selvedge agent instructions
This file is auto-loaded by Claude Code and Cowork on every session. It's the rules and conventions agents follow when working on Selvedge.
For everything else:
README.md— user-facing docs (install, quickstart, comparison, "what's new", CLI reference)docs/architecture.md— internal architecture, data model, MCP tool reference, CLI reference, full phase plan, non-goalsCHANGELOG.md— source of truth for what's actually shipped
Sources of truth
- What's shipped →
CHANGELOG.md. The phase-plan checkboxes indocs/architecture.mdcan drift; trust the changelog when they disagree. - Current MCP tool count and shape →
selvedge/server.py. Don't infer frommanifest.json— the bundle can lag the live server. - Version string →
pyproject.tomlANDselvedge/__init__.pyANDmanifest.jsonmust all match.
Code conventions
- No external dependencies beyond the declared ones. Keep the install footprint small.
- No LLM calls inside Selvedge core. Templated, deterministic output only. When a feature design is tempted toward an LLM hop, the PR description must explain how the templated output covers the user need; reviewers reject "we'll add an LLM later if needed." See
docs/architecture.mdcross-cutting risk register for the full rationale. - SQLite first, always. Don't reach for Postgres until Phase 3. SQLite with WAL handles concurrent reads fine.
ChangeEventis a dataclass, not Pydantic. Keep the core dependency-free. MCP serialization usesto_dict().- New TypedDict result types must justify themselves. Before introducing a new MCP tool result shape, check whether an existing one (
LogChangeResult,BlameResult, the auto-generated list-shapes) extends to fit. Prefer extending an existing type to introducing a new one. Every field always populated, nevernull— same convention asLogChangeResult/BlameResult(empty string / empty list / empty dict for "absent"). - Every public function has a docstring. The MCP tool docstrings in
server.pyare user-facing — they appear in agent tool listings and propagate intomanifest.json. - Tests use
tmp_pathfixtures andSELVEDGE_DBenv var. Never write to the real DB in tests. - Rich for all terminal output. No bare
print()incli.py. --jsonflag on every read command. Machine-readable output is a first-class concern.- Type hints everywhere. Python 3.10+ syntax (
X | Y,list[dict], etc.). - Destructive actions require both interactive consent AND environment-level opt-in. Any command that can delete events from the store (e.g.
selvedge prune --include-events, landing in v0.3.10 alongside.selvedge/config.toml) must require BOTH a confirmation prompt ANDSELVEDGE_DESTRUCTIVE=1in the environment. Defends against the cron / non-interactive--yesfootgun.
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.
- 9d ago First seen · 81 lines · 1,823 tokens per session scan A 6577713ebe95
selvedge CLAUDE.md is an instructions file published in the GitHub repository masondelan/selvedge (23 stars, last pushed 3d ago), licensed MIT. It adds 1,823 tokens to every session, about $0.0091 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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