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 adam-hanna/semantic-search-mcp --skill semantic-search-searchgit clone --depth 1 https://github.com/adam-hanna/semantic-search-mcpWrote 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/adam-hanna/semantic-search-mcp/semantic-search-search)<a href="https://agentmods.dev/skills/adam-hanna/semantic-search-mcp/semantic-search-search"><img src="https://agentmods.dev/badge/skills/adam-hanna/semantic-search-mcp/semantic-search-search/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/adam-hanna/semantic-search-mcp/semantic-search-search"><img src="https://agentmods.dev/badge/skills/adam-hanna/semantic-search-mcp/semantic-search-search.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 | $0.00025 | $0.00219 |
| Opus 5 | $0.00013 | $0.00110 |
| Sonnet 5 | $0.00005 | $0.00044 |
| Haiku 4.5 | $0.00003 | $0.00022 |
Grade A, and why
semantic-search:search 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.
What it actually says
Semantic Search
Search the codebase using natural language.
Action
- Take the user's query (everything after
/semantic-search:search) - Call
mcp__semantic-search__search_codewith:query: the user's search termsmax_results: 10 (default, adjust if user specifies)
- Present results clearly showing:
- File path and line numbers
- Code snippet
- Relevance score
Examples
User: /semantic-search:search authentication middleware
→ Search for "authentication middleware"
User: /semantic-search:search database connection pooling
→ Search for "database connection pooling"
Optional Filters
If user specifies filters, pass them:
language: "python", "typescript", etc.file_pattern: glob pattern like "**/*_test.py"chunk_type: "function", "class", "method"
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 · 35 lines · 25 tokens per session scan A bc85c6dfcbbc
semantic-search:search is a skill published in the GitHub repository adam-hanna/semantic-search-mcp (5 stars, last pushed 8mo ago), licensed MIT. It adds 25 tokens to every session and 219 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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