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 agentmods add skills/jerpint/woltspace/woltspace-setup-githubnpx skills add jerpint/woltspace --skill woltspace-setup-githubgit clone --depth 1 https://github.com/jerpint/woltspaceWhat 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 | $0.00030 | $0.01019 |
| Opus 5 | $0.00015 | $0.00509 |
| Sonnet 5 | $0.00006 | $0.00204 |
| Haiku 4.5 | $0.00003 | $0.00102 |
Grade A, and why
woltspace-setup-github scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 122 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GitHub App Setup
Guide the human through creating and configuring a GitHub App for their wolt. Step by step, one at a time.
This skill is idempotent — safe to run again. If things are already configured, validate and skip.
Step 0: Check existing config
Check if GitHub App credentials are already configured:
grep -c "GITHUB_APP_ID" "$WOLT_DIR/.env" 2>/dev/null && echo "found" || echo "not found"
If already configured: Validate the credentials work:
gh-app-token >/dev/null 2>&1 && echo "✓ GitHub App auth working" || echo "✗ Auth failed"
If working, tell the human and stop. If auth fails, continue to help fix it.
Step 1: Create a GitHub App
Tell the human:
Go to https://github.com/settings/apps/new and fill in:
- App name: anything unique (e.g.
woltspace-yourusername)- Homepage URL:
https://github.com/jerpint/woltspace(or your fork)- Webhook: uncheck "Active" — we don't need webhooks
- Permissions → Repository:
- Issues: Read & write
- Pull requests: Read & write
- Contents: Read & write (for pushing branches)
- Click Create GitHub App
Wait for confirmation before continuing.
Step 2: Generate a private key
Tell the human:
On your new App's settings page, scroll down to Private keys and click Generate a private key.
A
.pemfile will download. Open it in a text editor and copy the full contents (including the BEGIN/END lines).Paste it here.
Once they paste it, format for .env — replace actual newlines with \n so it fits on one line:
# The key should look like: -----BEGIN RSA PRIVATE KEY-----\nMIIE...\n...\n-----END RSA PRIVATE KEY-----
Add to .env:
GITHUB_APP_PRIVATE_KEY=-----BEGIN RSA PRIVATE KEY-----\nMIIE...\n-----END RSA PRIVATE KEY-----
Step 3: Get the App ID
Tell the human:
On your App's settings page, near the top you'll see App ID — it's a number. Paste it here.
Add to .env:
GITHUB_APP_ID=<app_id>
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.
- 2d ago First seen · 122 lines · 30 tokens per session scan A d0bec28d9a71
woltspace-setup-github is a skill published in the GitHub repository jerpint/woltspace (11 stars, last pushed 2d ago), licensed MIT. It adds 30 tokens to every session and 1,019 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.
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