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 Yesterday-AI/paperclip-plugin-company-wizard --skill setup-routinesgit clone --depth 1 https://github.com/Yesterday-AI/paperclip-plugin-company-wizardWrote 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/yesterday-ai/paperclip-plugin-company-wizard/setup-routines)<a href="https://agentmods.dev/skills/yesterday-ai/paperclip-plugin-company-wizard/setup-routines"><img src="https://agentmods.dev/badge/skills/yesterday-ai/paperclip-plugin-company-wizard/setup-routines/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/yesterday-ai/paperclip-plugin-company-wizard/setup-routines"><img src="https://agentmods.dev/badge/skills/yesterday-ai/paperclip-plugin-company-wizard/setup-routines.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 | $0.00071 | $0.03223 |
| Opus 5 | $0.00036 | $0.01612 |
| Sonnet 5 | $0.00014 | $0.00645 |
| Haiku 4.5 | $0.00007 | $0.00322 |
Grade A, and why
setup-routines scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s "$PAPERCLIP_API_URL/api/companies/{companyId}/dashboard" \ How it starts
The opening of the file, as written. The whole thing — 312 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Setup Routines — Data-Driven Routine Provisioning
This skill analyzes a Paperclip company's actual operational data to design routines that match real needs — not generic templates. The goal: replace expensive always-on heartbeats with targeted routines that fire only when needed.
Heartbeats cost tokens. Routines save money.
Analysis Framework
Before creating a single routine, run the full diagnostic. Each step feeds signal into the routine design.
Phase 1: Company Health Snapshot
Pull the dashboard for a quick pulse check.
curl -s "$PAPERCLIP_API_URL/api/companies/{companyId}/dashboard" \
-H "Authorization: Bearer $PAPERCLIP_API_KEY"
Extract:
- Agent error count — agents in
errorstate need a recovery routine - Open vs done ratio — high open count with low velocity = bottleneck
- Blocked count — chronic blockers need an escalation routine
- Budget utilization — high utilization = routines must be lean
- Pending approvals — stalled approvals need a nudge routine
Phase 2: Issue Archaeology
Query completed and open issues to find recurring patterns.
# Recent completed issues — look for repeat categories
curl -s "$PAPERCLIP_API_URL/api/companies/{companyId}/issues?status=done&limit=100" \
-H "Authorization: Bearer $PAPERCLIP_API_KEY"
# Open issues — find unassigned or stalled work
curl -s "$PAPERCLIP_API_URL/api/companies/{companyId}/issues?status=todo,in_progress,blocked&limit=50" \
-H "Authorization: Bearer $PAPERCLIP_API_KEY"
Pattern mining — look for these signals in issue titles and descriptions:
| Signal | What to look for | Routine type |
|---|---|---|
| Repeated bug category | Multiple issues with same root cause (e.g., "fix lint", "CI broken", "runtime error") | Preventive check — catch before it recurs |
| Unassigned high-priority | todo issues with high/critical priority and no assignee |
Triage routine for PM/CEO |
| Stalled in-progress | in_progress issues with no recent comments/activity |
Stall detector for CEO |
| Deploy-related issues | Issues mentioning deploy, Railway, Vercel, CI/CD | Post-deploy verification with webhook trigger |
| API integration issues | Issues about external API failures, rate limits, auth | API health check routine |
| Error/crash issues | Runtime errors, hydration, crashes, 500s | Runtime health patrol |
| Security issues | Auth bugs, secrets leaked, CORS, CSP | Security audit periodic routine |
| Performance issues | Lighthouse, Core Web Vitals, bundle size | Performance regression check |
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.
- 12d ago First seen · 312 lines · 71 tokens per session scan A 7c451735ce0f
setup-routines is a skill published in the GitHub repository Yesterday-AI/paperclip-plugin-company-wizard (171 stars, last pushed 4mo ago), licensed MIT. It adds 71 tokens to every session and 3,223 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 2026-08-30.
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