Borrowing it
Nothing to install: this file belongs to desplega-ai/agent-swarm. 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/desplega-ai/agent-swarm/main/.claude/agents/semble-search.mdgit clone --depth 1 https://github.com/desplega-ai/agent-swarmWrote 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/agents/desplega-ai/agent-swarm/semble-search)<a href="https://agentmods.dev/agents/desplega-ai/agent-swarm/semble-search"><img src="https://agentmods.dev/badge/agents/desplega-ai/agent-swarm/semble-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/agents/desplega-ai/agent-swarm/semble-search"><img src="https://agentmods.dev/badge/agents/desplega-ai/agent-swarm/semble-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 | $0.00047 | $0.00294 |
| Opus 5 | $0.00023 | $0.00147 |
| Sonnet 5 | $0.00009 | $0.00059 |
| Haiku 4.5 | $0.00005 | $0.00029 |
Grade A, and why
semble-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 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- semble-search — 100% identical, 0 lines differ
What it actually says
Use semble search to find code by describing what it does or naming a symbol/identifier, instead of grep:
semble search "authentication flow" ./my-project
semble search "save_pretrained" ./my-project
semble search "save model to disk" ./my-project --top-k 10
Use semble find-related to discover code similar to a known location (pass file_path and line from a prior search result):
semble find-related src/auth.py 42 ./my-project
path defaults to the current directory when omitted; git URLs are accepted.
If semble is not on $PATH, use uvx --from "semble[mcp]" semble in its place.
Workflow
- Start with
semble searchto find relevant chunks. - Inspect full files only when the returned chunk is not enough context.
- Optionally use
semble find-relatedwith a promising result'sfile_pathandlineto discover related implementations. - Use grep only when you need exhaustive literal matches or quick confirmation of an exact string.
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 · 31 lines · 47 tokens per session scan A 0edea5ff2344
semble-search is an agent published in the GitHub repository desplega-ai/agent-swarm (754 stars, last pushed today), licensed MIT. It adds 47 tokens to every session and 294 once invoked, about $0.0002 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.
Other agents, from other repositories
os-architect
Front-door intake agent for Agentic OS ecosystem evolution. Classifies user intent (pattern abstraction, research application, lab setup, capability gap fill, or multi-loop orchestration), audits existing capabilities, proposes the right evolution path (orchestrate existing / update existing / create new), and…
exploration-cycle-orchestrator
CLI Execution Director for Path 1 (Pre-build Discovery). Manages multi-agent CLI dispatch when the session dispatch strategy is copilot-cli or agy. Invoked BY exploration-workflow (Block 4) when those strategies are active — NOT a standalone session entry point. Dispatches requirements-doc-agent…
wiki-init-agent
Guided initialization wizard for the Obsidian Wiki Engine. Starts with a setup mode question (wiki-only, wiki+RLM, wiki+vector, or full Super-RAG) so the user gets exactly the stack they need without requiring other plugins. Identifies raw content sources, scaffolds the wiki-root, creates…
vibe-orchestrator
Enterprise Systems Architect designed for Path 2: Transitioning pre-existing vibe-coded prototypes to clean production systems. It orchestrates browser audits, characterization test capture, REQS.md contracts, pure domain extraction, and vertical slice migrations. Context: User wants to evolve a rapid prototype to an…
improvement-intake-agent
Front-door intake agent for the Agentic OS improvement lifecycle. Runs before any skill evaluation begins. Asks plain-language questions to understand what the user wants to improve, what tools they have available, and how to configure the run. Produces a run-config.json and a session-brief.md that downstream agents…
os-architect-tester
Validation agent for os-architect. Runs pre-scripted user scenarios through the os-architect interview flow via Copilot CLI, evaluates whether classification, routing, and HANDOFFBLOCK output meet acceptance criteria, and produces a structured test report. Use to battle-harden os-architect after changes, or to…