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 OneWave-AI/claude-skills --skill client-proposal-generatorgit clone --depth 1 https://github.com/OneWave-AI/claude-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/onewave-ai/claude-skills/client-proposal-generator)<a href="https://agentmods.dev/skills/onewave-ai/claude-skills/client-proposal-generator"><img src="https://agentmods.dev/badge/skills/onewave-ai/claude-skills/client-proposal-generator/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/onewave-ai/claude-skills/client-proposal-generator"><img src="https://agentmods.dev/badge/skills/onewave-ai/claude-skills/client-proposal-generator.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 | $0.00065 | $0.00677 |
| Opus 5 | $0.00032 | $0.00338 |
| Sonnet 5 | $0.00013 | $0.00135 |
| Haiku 4.5 | $0.00006 | $0.00068 |
Grade A, and why
client-proposal-generator 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 — 42 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Client Proposal Generator
Transform a brief description into a complete, professionally formatted consulting proposal (proposal.md), researching the client company for personalization and structuring the document with proven consulting frameworks.
Contents
references/inputs.md-- Required and optional inputs, defaults, one-liner extractionreferences/research.md-- Client web research checklist and research brief templatereferences/problem-and-solution.md-- Problem decomposition, methodology selection, phase and deliverable templatesreferences/timeline.md-- Duration estimation and timeline formatreferences/team.md-- Role framework and team section formatreferences/pricing.md-- Pricing models, 3-tier framework, rate benchmarks, calibration, payment termsreferences/terms.md-- Standard terms and conditions blockreferences/output-template.md-- Full proposal document structure and delivery summaryreferences/tone-and-quality.md-- Tone variants, pre-delivery quality checklist, error handling
Workflow
- Gather input. Collect required fields (client name, contact, problem, firm name) and optional fields; infer the rest from context. See
references/inputs.md. - Research the client. Pull company overview, recent news, tech signals, industry context, and competitors; organize into a research brief. See
references/research.md. - Frame the problem and design the solution. Decompose into root problem, symptoms, business impact, stakeholders, and urgency; select a methodology and define phases and deliverables. See
references/problem-and-solution.md. - Construct the timeline. Estimate duration, lay out phases with milestones, and state dependencies and assumptions. See
references/timeline.md. - Compose the team. Map roles and allocations; use placeholder names if none provided and never fabricate credentials. See
references/team.md. - Build pricing. Select a model (default: 3-tier fixed), set tier prices from rate benchmarks or a supplied budget, and add payment terms. See
references/pricing.md. - Add terms and conditions. Insert the standard block, adjusting scope, IP, and assumptions to the engagement. See
references/terms.md. - Assemble and write the proposal. Combine all sections into the output structure and write the file. See
references/output-template.md. - Run the quality check. Verify accuracy, consistency, no placeholders, and no fabricated facts; match the selected tone. See
references/tone-and-quality.md. - Deliver and summarize. Write to the output path and present the delivery summary with personalization applied and review recommendations. See
references/output-template.md.
What ships with it
9 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.
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 · 42 lines · 65 tokens per session scan A 9c0f4e3640be
client-proposal-generator is a skill published in the GitHub repository OneWave-AI/claude-skills (288 stars, last pushed 1mo ago), licensed MIT. It adds 65 tokens to every session and 677 once invoked, about $0.0003 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.
Other skills, from other repositories
content-strategy
Develop a content strategy covering editorial positioning, content pillars, formats, calendar, governance, and topical authority planning. Use this skill whenever the user wants to plan a content program, define content pillars, build an editorial calendar, structure topic clusters, set up content governance, or align…
stakeholder-communication
Communicate effectively with stakeholders across functions and seniority levels. Use this skill when writing status updates, preparing executive reviews, sharing technical decisions with non-technical audiences, managing up, communicating bad news, or designing the communication cadence for a project. Triggers on…
analytics-strategy
Design measurement frameworks including event taxonomy, KPI hierarchy, dashboard architecture, attribution models, and analytics implementation strategy. Use this skill whenever the user wants to plan analytics, design dashboards, build event taxonomies, define KPIs, set up tracking, or audit existing measurement.…
incident-response
Manage active production incidents through detection, triage, mitigation, communication, and resolution with structured roles and decision-making. Use this skill whenever the user has an active incident, a production issue, a service outage, a security incident, or needs to plan incident response procedures. Triggers…
review-work
Post-implementation gate review: run manual QA on the real surface yourself, then launch ONE gate reviewer (never a panel) to audit goal, constraints, code quality, security, missed context, and QA evidence. Use before a PR handoff or when the user explicitly asks to review completed work.
agb-begriff-vorformuliert-305
Für AGB Begriff Vorformuliert 305: ordnet Norm, Beweislast und Gegenargument; Ergebnis: Prüfprodukt mit Risiko und nächstem Schritt. Fachgebiet: AGB-Recht-Prüfer. Route: agb-begriff-vorformuliert-305.