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 jerpint/woltspace --skill lodge-skillsgit clone --depth 1 https://github.com/jerpint/woltspaceWrote 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/jerpint/woltspace/lodge-skills)<a href="https://agentmods.dev/skills/jerpint/woltspace/lodge-skills"><img src="https://agentmods.dev/badge/skills/jerpint/woltspace/lodge-skills/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/jerpint/woltspace/lodge-skills"><img src="https://agentmods.dev/badge/skills/jerpint/woltspace/lodge-skills.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 | $0.00035 | $0.00963 |
| Opus 5.5 | $0.00014 | $0.00385 |
| Sonnet 5.5 | $0.00007 | $0.00193 |
| Haiku 4.5 | $0.00003 | $0.00096 |
Grade A, and why
lodge-skills 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 1mo 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.
How it starts
The opening of the file, as written. The whole thing — 86 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Shared lodge skills
A shared skill teaches one local workflow to all wolts in the lodge. Its source lives in lodge data, not the installed Woltspace package. Woltspace links each skill into wolt skill paths; it does not publish, download, or distribute them. This helper is platform-owned; the skills it helps create are lodge-owned.
Find and set up the source
Run woltspace paths and use its wolts_dir, including custom/native/container
layouts. The shared source folder is <wolts_dir>/.space/shared-skills/.
Never assume another lodge's path or the current working directory is the root.
For an explanation request, explain the setup without writing files. For a creation/edit request, carry out the requested work within existing authorization and workspace rules. This skill grants no additional filesystem permissions. If the shared folder is outside the permitted write surface, draft the complete skill in the wolt's own workspace and provide the owner an install command with the resolved destination; do not silently place a private skill elsewhere.
Create one real directory per skill, containing a standard SKILL.md. Both the
directory and frontmatter name must be exactly lodge-<name>: lowercase letters,
numbers and single dashes, at most 64 characters including the prefix.
Do not invent a remote repository, marketplace, or platform release for it.
Example: <wolts_dir>/.space/shared-skills/lodge-github-practice/SKILL.md:
---
name: lodge-github-practice
description: Apply this lodge's GitHub identity and review practices when preparing changes.
---
Use the lodge's configured bot identity for commits and authenticated GitHub work.
Verify author and committer before pushing and preserve human review requirements.
Write instructions for the human's actual workflow, with a precise description
of when to use it. Keep credentials out. Put supporting scripts/references inside
the skill directory when useful. Skill directories cannot be symlinks, and
SKILL.md must remain inside its own skill directory. Invalid/mismatched names
are warned about and skipped, never silently renamed.
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.
- 1mo ago First seen · 86 lines · 35 tokens per session scan A ba6f64d52609
lodge-skills is a skill published in the GitHub repository jerpint/woltspace (22 stars, last pushed today), licensed MIT. It adds 35 tokens to every session and 963 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-09-18.
lodge-skills compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| lodge-skillsjerpint/woltspace | Skill | 22 | today | MIT | A | 35 | Claude Code |
| imagegenopenai/codex | Skill | 134k | today | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 100k | today | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 3d ago | MIT | A | 200 | Claude Code, Codex |
| browser-automationopenclaw/openclaw | Skill | 394k | today | MIT | A | 36 | Claude Code |
| systematic-debuggingobra/superpowers | Skill | 315k | 6d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 95 | Claude Code |