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 matteotitta/genesys-skills --skill proposalgit clone --depth 1 https://github.com/matteotitta/genesys-skillsWrote 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/matteotitta/genesys-skills/proposal)<a href="https://agentmods.dev/skills/matteotitta/genesys-skills/proposal"><img src="https://agentmods.dev/badge/skills/matteotitta/genesys-skills/proposal/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/matteotitta/genesys-skills/proposal"><img src="https://agentmods.dev/badge/skills/matteotitta/genesys-skills/proposal.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 | $0.00121 | $0.01605 |
| Opus 5 | $0.00060 | $0.00803 |
| Sonnet 5 | $0.00024 | $0.00321 |
| Haiku 4.5 | $0.00012 | $0.00161 |
Grade A, and why
client-proposals 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 10d 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.
Client proposals
Generate scope-of-work proposals for B2B SaaS GTM consulting engagements. Map discovery insights to phased deliverables with defensible pricing. Gate 4 — pause for collaborative review before finalizing.
Doctrine inherited (Step 7 — 0626 rollout, locked 2026-06-04)
Output complies with output-tenets.md, output-simplicity.md, doc-output-structure.md. Step 6 calibration: see [[feedback_execution_doctrine_refinements_step6]].
Refinements applied: R1 (proposal is client-team review surface — cleaned [VERIFIED:...] tags in appendix toggle, never inline in face doc), R2 (multi-phase proposal ships as one doc with toggles per phase), R3 (engagement framing operator-direct, never "thrilled to propose"), R5 (proposal opener mirrors discovery-call insight verbatim), R6 (close → signed proposal primary, kickoff scheduling as fallback), R9 (verb-led phase + deliverable names).
When to run
Run when the user says: "create proposal for [company]", "scope of work for [company]", "create SOW", "GTM consulting proposal", "help me scope this project", or after a discovery call completes with notes available.
Don't run when the user wants discovery-call prep (discovery), pure company research (company-context), or post-signature ICP work (icp-behavioural).
Inputs
Required:
- Company identifier — name or website. Verify it can be uniquely identified.
- Discovery insights — call notes, meeting transcript, or discovery doc covering pain points, goals, signals.
Recommended (sharpen scope and pricing):
- Budget signals (sets pricing band).
- Timeline constraints (affects phasing).
- Team resources — in-house designer, dev, content, etc. (affects scope).
- Specific deliverable requests.
If discovery insights are missing → ask for notes or run discovery first. Don't fabricate context.
Steps
- Pull upstream context — read
discoveryoutput and (if available)company-contextoutput for the prospect. Pull Slack history (slack_search_public) and Granola meeting notes (search_meetings) for fresh context. - Map signals → deliverables — review pain points and goals; match against the six categories in the premium reference (foundational, website, content/distribution, launch support, sales enablement, customer marketing). Every line item must trace to a discovery signal.
- Set pricing band — pick a scope type from the pricing table in the premium reference; adjust for stage, scope breadth, budget signals, complexity. Apply standard terms (3-month commitment, 30-day notice, auto-renewal).
- Draft the context paragraph using the canonical formula:
[Company] is [1-sentence description]. The platform serves [ICP] who need to [primary use case]. [Value prop]. Fresh off [milestone/trigger], the team needs [deliverable] to [outcome].Two to three paragraphs total — company overview, current situation, goals from discovery. - Phase the deliverables — Month 1 = foundation (research, audits); Month 2-3 = strategy + execution; Month 4+ = optional future scope. Foundation always precedes execution. Reflect client urgency (launch dates, board meetings, seasonal windows) in the timeline, not generic 4-week blocks.
- Assemble the document using the markdown template in the premium reference — title, [Month Year] subtitle, Context, Deliverables (with the standard tentative-scope disclaimer), Terms, Collaboration. Use
- [ ]for all deliverable items (Google Docs checklist conversion). Keep checklist items flat per workstream. - Run the self-evaluation in the premium reference — completeness, evidence quality, guardrails, self-roast. If anything fails, fix or flag before delivery.
- Pause for Gate 4 collaborative review — multi-round co-creation. Review scope accuracy, pricing, phasing, terms with the user before finalizing.
- After approval, offer the post-output options (adjust scope/pricing, push to Google Docs in
PJ - Proposals, add/remove deliverables).
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.
- 10d ago First seen · 122 lines · 121 tokens per session scan A 06b6cd0393a4
client-proposals is a skill published in the GitHub repository matteotitta/genesys-skills (36 stars, last pushed 1mo ago), licensed MIT. It adds 121 tokens to every session and 1,605 once invoked, about $0.0006 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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