Borrowing it
Nothing to install: this file belongs to raghavwahi/semdex-mcp-server. 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/raghavwahi/semdex-mcp-server/main/.claude/skills/sdx-bench/SKILL.mdgit clone --depth 1 https://github.com/raghavwahi/semdex-mcp-serverWrote 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/raghavwahi/semdex-mcp-server/sdx-bench)<a href="https://agentmods.dev/skills/raghavwahi/semdex-mcp-server/sdx-bench"><img src="https://agentmods.dev/badge/skills/raghavwahi/semdex-mcp-server/sdx-bench/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/raghavwahi/semdex-mcp-server/sdx-bench"><img src="https://agentmods.dev/badge/skills/raghavwahi/semdex-mcp-server/sdx-bench.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 | $0.00024 | $0.00288 |
| Opus 5 | $0.00012 | $0.00144 |
| Sonnet 5 | $0.00005 | $0.00058 |
| Haiku 4.5 | $0.00002 | $0.00029 |
Grade A, and why
sdx-bench 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
Run Semdex Benchmarks
Run the benchmark suite from the project root:
# Quick latency check (skip accuracy)
sdx bench --quick
# Full benchmark with SLA verification
sdx bench --sla
# Run 50 iterations for stable p95
sdx bench --iterations 50
# Output machine-readable JSON for CI
sdx bench --output json
SLA Targets (Dev Laptop)
| Metric | Target |
|---|---|
| Index 50K LOC | ≤15s |
| Incremental update | ≤500ms |
| symbol.find | ≤50ms |
| search.semantic | ≤2s |
| search.lexical | ≤100ms |
| Memory RSS | ≤500MB |
What to Check
- If
--slaexits non-zero, find the failing metric - Check
.repoidentity/logs/traces.ndjsonfor the slowest spans - Common causes: cold embedding model, full re-index instead of incremental, missing DB index
- Run
sdx inspect --statsto verify chunk counts look reasonable
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 · 24 tokens per session scan A cc031953a8aa
sdx-bench is a skill published in the GitHub repository raghavwahi/semdex-mcp-server (0 stars, last pushed 1mo ago), licensed MIT. It adds 24 tokens to every session and 288 once invoked, about $0.0001 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 2026-08-31.
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