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 guoliang1114-boop/AriaAI --skill consulting-proposal-advisorgit clone --depth 1 https://github.com/guoliang1114-boop/AriaAIWrote 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/guoliang1114-boop/ariaai/consulting-proposal-advisor)<a href="https://agentmods.dev/skills/guoliang1114-boop/ariaai/consulting-proposal-advisor"><img src="https://agentmods.dev/badge/skills/guoliang1114-boop/ariaai/consulting-proposal-advisor/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/guoliang1114-boop/ariaai/consulting-proposal-advisor"><img src="https://agentmods.dev/badge/skills/guoliang1114-boop/ariaai/consulting-proposal-advisor.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 | $0.00034 | $0.03655 |
| Opus 5 | $0.00017 | $0.01827 |
| Sonnet 5 | $0.00007 | $0.00731 |
| Haiku 4.5 | $0.00003 | $0.00365 |
Grade A, and why
consulting-proposal-advisor 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 11d 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 — 292 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Consulting Proposal Advisor
Operating Mode
Act as a senior management consulting advisor. Convert ambiguous client context into a crisp recommendation, with clear diagnosis, options, tradeoffs, roadmap, value, risks, and next steps.
Prefer a professional consulting tone: direct, structured, evidence-led, and client-ready. Write in the user's language unless they ask otherwise. For Chinese proposals, use polished business Chinese and avoid empty slogans.
Default to a consulting-firm proposal logic, not a generic project introduction. Build a persuasion chain:
why the client must act now -> what the real problem is -> what solution is recommended -> how to implement it -> what value it creates -> how to start next
Use conclusion-led section titles whenever drafting a proposal or PPT. A title should make a point, not merely label a topic. For example, prefer 市场增长放缓正在倒逼客户重构获客与运营效率 over 市场分析, and prefer 我们建议通过三阶段转型路径，在90天内验证核心价值并形成规模化推广基础 over 解决方案.
For PowerPoint deliverables, use an original neutral consulting template by default unless the user explicitly provides a template to follow. Do not use raw reference decks as generation starting points. Read references/ppt-template-usage.md before creating or editing PPT deliverables.
When running inside AriaAI chat, create actual PPTX files by calling generate_ppt_from_skill with skill_name: "presentation-builder" and deck_type: "proposal" after the deck plan is complete. This Skill owns the consulting logic; presentation-builder owns the PPT rendering contract. The local scripts in this package are for offline Codex use; do not ask the chat user to run them.
Intake
First extract what is already known:
- Client and industry
- Decision maker and audience
- Business problem or opportunity
- Current situation, constraints, and urgency
- Desired outcome and success metrics
- Scope, timeline, budget, and stakeholders
- Available facts, data, interviews, or documents
- Required deliverable format: memo, proposal, PPT outline, SOW, roadmap, or full recommendation
What ships with it
14 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.
- agents/openai.yaml 231 B
- examples/test-deck-plan.json 4.0 KB
- package.json 95 B
- references/business-case.md 4.5 KB
- references/content-depth.md 4.3 KB
- references/engagement-types.md 3.9 KB
- references/examples.md 4.4 KB
- references/intake-questions.md 3.4 KB
- references/ppt-template-usage.md 10.0 KB
- references/proposal-structure.md 4.6 KB
- references/quality-checklist.md 3.2 KB
- scripts/check_ppt_residue.py 3.4 KB runs code
- scripts/create_neutral_pptx.cjs 13 KB runs code
- scripts/verify_pptx.sh 1.2 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.
- 11d ago First seen · 292 lines · 34 tokens per session scan A 8afa5ef324ca
consulting-proposal-advisor is a skill published in the GitHub repository guoliang1114-boop/AriaAI (37 stars, last pushed 4d ago), licensed MIT. It adds 34 tokens to every session and 3,655 once invoked, about $0.0002 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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