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/haikelz/jadwal-sholatWrote 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/rules/haikelz/jadwal-sholat/graft)<a href="https://agentmods.dev/rules/haikelz/jadwal-sholat/graft"><img src="https://agentmods.dev/badge/rules/haikelz/jadwal-sholat/graft/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/rules/haikelz/jadwal-sholat/graft"><img src="https://agentmods.dev/badge/rules/haikelz/jadwal-sholat/graft.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 | $0.00579 | $0.00579 |
| Opus 5.5 | $0.00232 | $0.00232 |
| Sonnet 5.5 | $0.00116 | $0.00116 |
| Haiku 4.5 | $0.00058 | $0.00058 |
Grade A, and why
graft 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.
What it actually says
Graft — repo context graph
This repo is indexed in graft/: small linked markdown nodes that explain each
system and carry exact file:line spans, kept in sync with the code through git.
For ANY task here — understanding how something works, finding where code lives,
or scoping a change — get context from the graph before grepping or opening
source files. Re-ask freely (it's cheap) and reuse literal identifiers you
already have (symbol, error string, file name) as the query. New to this repo?
Run graft map first — a token-budgeted orientation (dir clusters, hubs,
hotspots), no LLM, no key.
- Run
graft ask "<your question>" --source→ ranked nodes with the relevant code spans inlined (each hit's ≤8-line crux by default;--fullfor whole definitions when the crux isn't enough). Match the tool to the task shape: for understanding or editing, the top node IS the answer — cite itscovers:file:line spans and edit straight from--source. For exhaustive tasks ("every occurrence / every caller of this pattern"), ranked results are top-N, not complete — rungraft grep "<literal>"instead (exhaustive over indexed files, grouped by enclosing symbol), falling back to rawgrep -rnonly for unindexed files. graft skeleton <file>→ every definition's signature + span, ~10× cheaper than reading the file; use it to skim an API surface.graft callers <symbol>gives precomputed, exact edges — who calls this. Add--direction outfor what it calls, or--depth Nto walk transitively for the full blast radius. For structural questions, skip ranking and use this directly.- Or browse:
graft/INDEX.mdlists every node; follow the links. - Monorepos and folders of multiple repos rank fairly across sub-projects —
hits carry
[scope/]labels naming which one they're from. Narrow withgraft ask "<task>" --in <scope>/once you know where you're working.
If a returned span is truncated ("+N more lines"), open the file at that exact range before finalizing. Only open source files when a node genuinely lacks a needed detail, and then at the exact file:line the node points to — never re-read whole files.
After big code changes, refresh the graph with graft build (deterministic,
no API key, $0).
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 · 44 lines · 579 tokens per session scan A ca0398e2c7f9
graft is a cursor rule published in the GitHub repository haikelz/jadwal-sholat (94 stars, last pushed 2d ago), licensed MIT. It adds 579 tokens to every session, about $0.0023 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 2026-10-20.
Other cursor rules, from other repositories
mongodb-memory-server-setup
When adding mongodb-memory-server (MMS) to a package or writing tests that use it, follow these rules to prevent CI failures.
upgrade-tests
// ✅ CORRECT: Upgrade package pattern await using ctx = testReactResource(appRouter, { server: { // server configuration }, client(opts) { return { links: [ httpLink({ url: opts.httpUrl, // client configuration }), ], }; }, }).
react-query-tests
// ✅ CORRECT: Legacy React Query pattern const ctx = konn() .beforeEach(() => createAppRouter()) .afterEach((ctx) => ctx?.close?.()) .done().
tanstack-react-query-tests
// ✅ CORRECT: Use await using for automatic cleanup await using ctx = testReactResource(appRouter, { server: { // server configuration }, client(opts) { return { links: [ httpLink({ url: opts.httpUrl, // client configuration }), ], }; }, }).
test-running
When running tests, use the --watch false flag to avoid watch mode.
pnpm
Always use pnpm as a package manager instead of yarn, bun, or npm.