extractor-locations

extractor-locations is an agent for Claude Code from Sstobo/Claude-Code-Game-Master. It costs 17 tokens per session (1,187 once invoked), scanned A, original, no licence file.

A tool for finding places in document sections, including locations, settings, and scenes.

In plain words
What is it for?
Use it to build a location index or extract settings for a game world, story, or other structured dataset.
Why use it?
It removes the need to read every document section manually to make a list of places.

Agent for Claude Code

Install

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.

agentmods
npx agentmods add agents/sstobo/claude-code-game-master/extractor-locations
Clone the repo
git clone --depth 1 https://github.com/Sstobo/Claude-Code-Game-Master

Made for: Claude Code.

Wrote 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.

agentmods badge for extractor-locations

README.md
[![agentmods](https://agentmods.dev/badge/agents/sstobo/claude-code-game-master/extractor-locations.svg)](https://agentmods.dev/agents/sstobo/claude-code-game-master/extractor-locations)
Your own site
<a href="https://agentmods.dev/agents/sstobo/claude-code-game-master/extractor-locations"><img src="https://agentmods.dev/badge/agents/sstobo/claude-code-game-master/extractor-locations.svg" alt="Measured on agentmods" height="20"></a>
Per session 17 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,187 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00017 $0.01187
Opus 5 $0.00009 $0.00593
Sonnet 5 $0.00003 $0.00237
Haiku 4.5 $0.00002 $0.00119

Measured 4d ago against content hash 96082ffe320c, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

extractor-locations 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 4d 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.

.claude/agents/extractor-locations.md · 140 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

Changes

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.

  1. 4d ago First seen · 140 lines · 17 tokens per session scan A 96082ffe320c

Subscribe to this mod's changes

extractor-locations is an agent published in the GitHub repository Sstobo/Claude-Code-Game-Master (148 stars, last pushed 17d ago), with no licence file. It adds 17 tokens to every session and 1,187 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 2026-08-30.

Related

Other agents, from other repositories

openwriter-enrichment-minion

Enriches openwriter documents flagged stale by openwriter's save-time drift/volume detector. Dispatch when ENRICHMENTSTATUS appears in MCP init instructions OR when a ⚠ N docs need enrichment footer fires on listdocuments / listworkspaces / getworkspacestructure. Reads each dirty doc and stamps it with a single field…

travsteward/openwriter · 94 tokens

auditor

Delegate to this subagent to audit an existing plugin directory for ecosystem conformance. Input is the plugin directory path. Checks: plugin.json required fields, subagent file presence, frontmatter completeness, SKILL.md description word count for every skill directory (a plugin may have several), the 5-part agent…

orin-dx/agent-plugins · 287 tokens

chronology-builder

Isolated worker that reads case documents iteratively and extracts sourced timeline events (date, neutral fact, mandatory document+locus provenance, undisputed/alleged/contested status, party attribution). Deduplicates and cross-references across documents and languages. Emits events.json for the legal-chronology…

fedec65/bettercallclaude · 103 tokens

llm2bedrock-report-generator

Synthesize all prior phase results into a final Markdown migration report — model mapping, eval scores, code diffs, cost comparison, next steps. Writes MIGRATIONREPORT .md and returns a structured report object.

awslabs/startups · 52 tokens

literature-extractor

Extracts literature Statements from papers for a survey. Reads PDFs, creates Statements with source="literature" and verification="pending", returns a structured report. Never registers theme tags, never creates Warrants or Claims.

yqi96/warranted · 48 tokens

implement-taskplanner

You produce a .tasks.md implementation plan from a feature plan. Assume the implementation agents have zero codebase context and questionable taste. Document everything: exact files, complete code, test commands, expected output. Bite-sized TDD tasks. DRY. YAGNI.

BugRoger/beastmode · 0 tokens