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 Doris-Labs/sales-skills --skill proposalgit clone --depth 1 https://github.com/Doris-Labs/sales-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/doris-labs/sales-skills/proposal)<a href="https://agentmods.dev/skills/doris-labs/sales-skills/proposal"><img src="https://agentmods.dev/badge/skills/doris-labs/sales-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/doris-labs/sales-skills/proposal"><img src="https://agentmods.dev/badge/skills/doris-labs/sales-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 | $0.00074 | $0.01316 |
| Opus 5 | $0.00037 | $0.00658 |
| Sonnet 5 | $0.00015 | $0.00263 |
| Haiku 4.5 | $0.00007 | $0.00132 |
Grade A, and why
proposal 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 9d 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 — 115 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Proposal
Purpose
Turn an established deal into a proposal the buyer recognizes as theirs — built around their stated problem and desired outcome, scoped to what they actually need, priced clearly, and ending in a single next step. Not a template with their logo on it.
Inputs
- The buyer's stated problem and desired outcome (their words)
- The solution and scope you're proposing (what's in, what's out)
- Pricing, and any commercial terms (term length, payment, start date)
- Who the proposal is for (economic buyer, champion) and what they care about
Method
- Pull the buyer's own priorities first. A proposal is a mirror, not a brochure — lead with their stated problem and desired outcome in their language before you describe anything you sell.
- Build the proposal on this seven-part spine, in order:
- Problem — the buyer's situation and the cost of the status quo, in their words.
- Desired outcome — what success looks like to them, stated as their goal.
- Solution — how your offering produces that outcome. Tie each capability to a pain or value driver they named. Cut anything that maps to neither.
- Scope — exactly what's included, deliverables, and what's explicitly out. Ambiguity here is where deals stall in legal and procurement.
- Pricing — clear line items, the total, and the value metric behind it. Anchor against the cost of inaction from step 1, not against competitors.
- Terms — term length, payment schedule, start date, key assumptions.
- Next steps — one clear CTA (see rule below).
- Mirror their words throughout. If they said "ramp time for new reps," don't rewrite it as "onboarding efficiency." Echoing their language is what makes a proposal feel bespoke instead of generic.
- Make the next step a single clear CTA — "sign here," "intro to procurement," or "30-min commercial review on ." Multiple asks dilute to zero.
Proposal structure template:
<Title> — Proposal for <Account>
1. The problem
<their situation + cost of status quo, their words>
2. Desired outcome
<what success looks like to them>
3. Proposed solution
<capability> → solves <pain they named>
<capability> → delivers <value driver they named>
4. Scope
Included: <deliverables>
Not included: <explicit exclusions>
5. Investment
<line item> .......... <price>
Total: <total> (<value metric / term>)
6. Terms
Term: <length> | Payment: <schedule> | Start: <date>
7. Next step
<single clear CTA> by <date>
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.
- 9d ago First seen · 115 lines · 74 tokens per session scan A e099b0864dae
proposal is a skill published in the GitHub repository Doris-Labs/sales-skills (3 stars, last pushed 3mo ago), licensed MIT. It adds 74 tokens to every session and 1,316 once invoked, about $0.0004 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 2026-08-31.
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