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 cass-2003/local-workflow-skill --skill partnerships-architectgit clone --depth 1 https://github.com/cass-2003/local-workflow-skillWrote 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/cass-2003/local-workflow-skill/partnerships-architect)<a href="https://agentmods.dev/skills/cass-2003/local-workflow-skill/partnerships-architect"><img src="https://agentmods.dev/badge/skills/cass-2003/local-workflow-skill/partnerships-architect/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/cass-2003/local-workflow-skill/partnerships-architect"><img src="https://agentmods.dev/badge/skills/cass-2003/local-workflow-skill/partnerships-architect.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 | $0.00145 | $0.02805 |
| Opus 5 | $0.00072 | $0.01403 |
| Sonnet 5 | $0.00029 | $0.00561 |
| Haiku 4.5 | $0.00015 | $0.00281 |
Grade A, and why
partnerships-architect 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 6d 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 — 207 lines — stays where its author put it; the contents beside it link to each section on GitHub.
partnerships-architect
Purpose
Help Head of Partnerships, Head of BD, and Founder-CEOs answer four questions when a prospective partner shows up:
- Is this a real partner, or someone hunting preferential terms without independent demand?
- At what tier should we sign them? (Referral / Reseller / OEM / SI-Consulting / Strategic Alliance)
- What's the 90-day joint GTM plan that proves the partnership works?
- What revshare makes economic sense — and at what point does the partnership beat direct sale?
The skill emits a tier verdict + GTM plan + revshare band with explicit kill criteria. It does not sign the deal. The human, after running this skill, decides.
When to use
- A prospective partner has approached and asked for reseller / OEM / "strategic" terms
- You're designing a new partner program tier structure
- You're reviewing an existing partnership that's underperforming and need to decide: re-tier, restructure GTM, or unwind
- A Big Logo wants a "strategic alliance" — and you need to validate it's real, not vendor-lock theatre
- A consulting firm or SI wants services revshare on your product
- A platform vendor offers OEM / white-label and you need to model the math
- You suspect "partner-sourced" deals are actually your own pipeline being skimmed for margin
Do not use for:
- Technical demos and POCs →
business-growth/sales-engineer - Cost-to-serve and ROI math on existing channel → sibling
channel-economics - Whole-company revenue strategy →
c-level-advisor/cro-advisor - Acquiring a company instead of partnering →
c-level-advisor/ma-playbook - Per-deal discount approval inside a signed partner contract →
deal-desk
Workflow
Step 1 — Intake (≈ 20 min)
Fill assets/partnership_intake_template.md. Capture: partner_name, partner_type, evidence
of independent demand (named accounts they've sourced, end-customer relationships,
their sales team size), strategic value (geo / product / brand / channel economics),
commitments they've offered (joint marketing spend, dedicated headcount, certification,
sales targets).
What ships with it
7 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- assets/partnership_intake_template.md 4.6 KB
- references/channel_partner_canon.md 7.1 KB
- references/joint_gtm_canon.md 6.8 KB
- references/partnership_anti_patterns.md 8.6 KB
- scripts/joint_gtm_planner.py 16 KB runs code
- scripts/partner_tier_classifier.py 21 KB runs code
- scripts/revshare_modeler.py 17 KB runs code
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.
- 6d ago First seen · 207 lines · 145 tokens per session scan A 37afb0b25654
partnerships-architect is a skill published in the GitHub repository cass-2003/local-workflow-skill (12 stars, last pushed 2mo ago), licensed MIT. It adds 145 tokens to every session and 2,805 once invoked, about $0.0007 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 2026-09-03.
Other skills, from other repositories
sector-rotation
An analysis framework for comparing industries in the Chinese A-share stock market, using business conditions, price momentum, valuation, and money flows. It produces rankings and higher- or lower-allocation suggestions.
strategy-pivot-designer
Detect backtest iteration stagnation and generate structurally different strategy pivot proposals when parameter tuning reaches a local optimum.
twitter-reader
Read Twitter/X for financial research using opencli (read-only). Use this skill whenever the user wants to read their Twitter feed, search for financial tweets, view bookmarks, look up user profiles, or gather market sentiment from Twitter/X. Triggers include: "check my feed", "search Twitter for", "show my…
chenhao-limit-up
A framework for judging Chinese A-share stocks that have reached the daily price-rise limit, using market mood, sector leadership, and trading momentum.
trading-risk-gate
Unified pre-trade safety gate: Ruin check (Law #1), ergodicity audit, and win-rate dominance validation. Absorbs: ergodicity-check, law-of-ruin, win-rate-dominance.
furusato
A Japanese hometown-tax donation manager for furusato nozei, a system where donations to municipalities can qualify for an income-tax or local-tax deduction. It reads donation receipts, stores donation records, and calculates deduction limits.