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 strikersam/autonomous-ai-agency --skill platform-setupgit clone --depth 1 https://github.com/strikersam/autonomous-ai-agencyWrote 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/strikersam/autonomous-ai-agency/platform-setup)<a href="https://agentmods.dev/skills/strikersam/autonomous-ai-agency/platform-setup"><img src="https://agentmods.dev/badge/skills/strikersam/autonomous-ai-agency/platform-setup/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/strikersam/autonomous-ai-agency/platform-setup"><img src="https://agentmods.dev/badge/skills/strikersam/autonomous-ai-agency/platform-setup.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00077 | $0.01382 |
| Opus 5 | $0.00039 | $0.00691 |
| Sonnet 5 | $0.00015 | $0.00276 |
| Haiku 4.5 | $0.00008 | $0.00138 |
Grade A, and why
platform-setup scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 7d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
import urllib.request, json, os How it starts
The opening of the file, as written. The whole thing — 180 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill: platform-setup — Autonomous Agency Bootstrap
Prerequisites
npm install -g browse
export BROWSERBASE_API_KEY="bb_live_..."
export PLATFORM_URL="https://local-llm-server.strikersam.workers.dev"
# Admin credentials are in memory/test_credentials.md
Phase 1 — Verify deployment health (no auth needed)
# 1a. Check public health endpoints
python3 -c "
import urllib.request, json, os
base = os.environ['PLATFORM_URL']
for path in ['/api/health', '/api/doctor/public']:
try:
with urllib.request.urlopen(f'{base}{path}', timeout=10) as r:
print(f'{path}: HTTP {r.status}', json.loads(r.read()).get('status','?'))
except Exception as e:
print(f'{path}: ERROR {e}')
"
# 1b. If health endpoints are 403/404 — the Cloudflare Worker routing is broken.
# Fix: check wrangler.jsonc BACKEND_ORIGIN points to correct Render URL.
Phase 2 — Login as admin
browse open "$PLATFORM_URL/login" --remote
# Get page snapshot to find form field refs
browse snapshot
# Look for: email input, password input, submit button
# Fill credentials (from memory/test_credentials.md)
browse fill "@eN" "[email protected]" # replace @eN with actual ref
browse fill "@eN" "YOUR_ADMIN_PASSWORD"
browse click "@eN" # Submit / Login button
# Verify login succeeded
browse snapshot
# Expected: dashboard visible, no /login redirect
browse screenshot
Phase 3 — Onboard the platform itself as a company
# Navigate to Company / Onboarding
browse click "@eN" # "+" or "New Company" button
browse snapshot
# Fill company details
browse fill "@eN" "Agency Core Platform" # Company name
browse fill "@eN" "https://local-llm-server.strikersam.workers.dev" # Website URL
browse click "@eN" # "Scan" or "Start Onboarding" button
# Wait for scan to complete (may take 30-60s)
browse wait 30000
browse snapshot
# Expected: detected systems listed (Cloudflare, Render, FastAPI, React, etc.)
browse screenshot
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.
- 7d ago First seen · 180 lines · 77 tokens per session scan A 3e8b204b20b1
platform-setup is a skill published in the GitHub repository strikersam/autonomous-ai-agency (8 stars, last pushed yesterday), licensed MIT. It adds 77 tokens to every session and 1,382 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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