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 tahirraufkeeyu/software-development-agent-stack--sdas --skill rfp-respondergit clone --depth 1 https://github.com/tahirraufkeeyu/software-development-agent-stack--sdasWrote 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/tahirraufkeeyu/software-development-agent-stack--sdas/rfp-responder)<a href="https://agentmods.dev/skills/tahirraufkeeyu/software-development-agent-stack--sdas/rfp-responder"><img src="https://agentmods.dev/badge/skills/tahirraufkeeyu/software-development-agent-stack--sdas/rfp-responder/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/tahirraufkeeyu/software-development-agent-stack--sdas/rfp-responder"><img src="https://agentmods.dev/badge/skills/tahirraufkeeyu/software-development-agent-stack--sdas/rfp-responder.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 | $0.00058 | $0.01862 |
| Opus 5 | $0.00029 | $0.00931 |
| Sonnet 5 | $0.00012 | $0.00372 |
| Haiku 4.5 | $0.00006 | $0.00186 |
Grade A, and why
rfp-responder 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 — 134 lines — stays where its author put it; the contents beside it link to each section on GitHub.
When to use
Trigger this skill when:
- A buyer submits a formal RFP, RFI, or RFQ document (Word, PDF, or spreadsheet).
- A procurement team sends a security questionnaire (SIG, CAIQ, or custom).
- A due-diligence buyer (private equity, M&A target) sends a request for information.
- An existing customer's procurement triggers a vendor review with a questionnaire.
Do not use this for informal buyer emails asking general questions — use a targeted email reply instead. The RFP responder is for structured, multi-section documents.
Inputs
Required:
rfp_document— the RFP text, file path, or pasted contents. Must be complete.our_capability_library— pointer to our answer bank, case studies, security docs. Typically in Notion or a dedicated RFP tool.customer_context— who is issuing the RFP, their stated objective, their evaluation timeline.
Optional:
prior_responses— previous responses to similar RFPs, as raw material.deal_owner_guidance— rep's notes on what to emphasize, what to avoid.win_themes— strategic themes to thread through every section (e.g. "time to value," "vendor consolidation").submission_format— the format the buyer expects back (Word with their template, Excel with their rows, PDF).
Outputs
Three artifacts:
- Requirement tree — structured extraction of every numbered/lettered requirement in the RFP, flagged as Must / Should / Nice / Informational.
- Gap analysis — requirements we do not fully meet, categorized as Partial / Missing / Custom-buildable, with a recommended response strategy for each.
- Draft response — section-by-section draft in the buyer's template, using the buyer's section numbering and language, with evidence cited per answer.
Tool dependencies
- Notion MCP or a dedicated RFP tool (Loopio, Responsive) — highly recommended. The answer bank is the skill's primary source.
- WebFetch — optional; pulls the buyer's public site for context.
- Salesforce / HubSpot MCP — optional; reads prior opportunities with the same buyer.
- Docx / PDF reader — required if the RFP is supplied as a file. If unavailable, the user must paste the content.
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 · 134 lines · 58 tokens per session scan A f565e5769426
rfp-responder is a skill published in the GitHub repository tahirraufkeeyu/software-development-agent-stack--sdas (18 stars, last pushed 4mo ago), licensed MIT. It adds 58 tokens to every session and 1,862 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.
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