Skip to main content

lmg

Use the lmg CLI to answer focused questions about a local codebase while keeping iterative search output out of the calling agent's context. Use for repository discovery, tracing implementations, locating symbols or configuration, and gathering file:line evidence.

Informations de source

Dépôt
losfair/lmg
Dernière activité de la source
29 août 2026 à 16:16
Langue détectée de SKILL.md
anglais
Étoiles
0
Forks
0

Options d'installation

Le prompt qui vérifie d'abord la source est sélectionné par défaut. Vous pouvez passer à une commande directe ou télécharger une copie locale.

Vérifiez les fichiers source

Lisez SKILL.md et les fichiers associés affichés par SkillsMP avant de décider de l'installer.

Affichage de SKILL.md

SKILL.md
Instructions source · Aperçu en lecture seule
name
lmg
description
Use the lmg CLI to answer focused questions about a local codebase while keeping iterative search output out of the calling agent's context. Use for repository discovery, tracing implementations, locating symbols or configuration, and gathering file:line evidence.
# Use lmg for codebase research Use `lmg` when answering a focused repository question would otherwise require several searches or produce noisy output. It runs its own search loop and returns only a concise JSON codemap with file and line evidence. Run it from the repository root: ```sh lmg "Where is session expiry enforced?" ``` Or identify the repository explicitly: ```sh lmg -C /path/to/repo "Trace how requests become authenticated users" ``` Ask one concrete investigative question at a time. Include the behavior, symbol, configuration, or execution path you need to understand. Prefer direct shell inspection when the exact file and location are already known. On success, parse the JSON codemap on stdout: ```json { "summary": "direct answer", "nodes": [ { "id": "unique-id", "location": "relative/path:line-line", "symbol": "optional symbol", "description": "fact established by this location" } ], "edges": [ {"from": "node-id", "to": "node-id", "relation": "calls or data flow"} ], "usage": {"input": 100, "output": 20, "cache_read": 80, "cache_create": 0} } ``` Every edge references node IDs. `symbol` is optional, and `edges` is empty when the answer does not need a relationship graph. `usage` is added by `lmg` and aggregates provider token counts across every agent round. `lmg` automatically supplies repository-root instructions from `AGENTS.md`, falling back to `CLAUDE.md` only when `AGENTS.md` is absent. Callers do not need to include those instructions in the question. Treat the answer as research evidence, not authorization to modify anything. Before editing or making a high-impact decision, inspect the cited locations directly and reconcile any ambiguity or missing context. The default sandbox is read-only, has no network access, and hides the user's home and parent environment. Keep it enabled for ordinary research. Use `--yolo` only when the task is authorized to grant the model the invoking process's filesystem and network access; environment scrubbing and other limits still remain active. Use `--verbose` to put tool activity and per-round input, output, cache-read, and cache-create token counts on stderr. Do not substitute `--yolo` for missing endpoint, API-key, model, or sandbox setup. Network failures and retryable HTTP responses are retried indefinitely with bounded exponential backoff, so an invocation may keep waiting during a provider outage until it succeeds or the caller terminates it. Parallel tool calling is enabled by default, allowing the model to request multiple repository inspections in one turn. Run `lmg --skill` to print this skill from the installed binary.
Voir sur GitHub