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 pnp/sharepoint-skills --skill rfp-response-extractiongit clone --depth 1 https://github.com/pnp/sharepoint-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/pnp/sharepoint-skills/rfp-response-extraction)<a href="https://agentmods.dev/skills/pnp/sharepoint-skills/rfp-response-extraction"><img src="https://agentmods.dev/badge/skills/pnp/sharepoint-skills/rfp-response-extraction/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/pnp/sharepoint-skills/rfp-response-extraction"><img src="https://agentmods.dev/badge/skills/pnp/sharepoint-skills/rfp-response-extraction.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 | $0.00072 | $0.01643 |
| Opus 5 | $0.00036 | $0.00822 |
| Sonnet 5 | $0.00014 | $0.00329 |
| Haiku 4.5 | $0.00007 | $0.00164 |
Grade A, and why
rfp-response-extraction 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 — 177 lines — stays where its author put it; the contents beside it link to each section on GitHub.
RFP Extraction Skill
Firm Profile (REQUIRED — fill in before use)
These values define who your firm is and how it writes. See SETUP.md.
- FIRM NAME: [FIRM NAME]
- WHAT THE FIRM DOES: [one sentence]
- ROLE BOUNDARY: [what the firm will NOT claim to do — leave blank if none]
- VENDOR STANCE: [vendor-neutral OR resells/implements specific products]
- SPECIALIZATION: [domains the firm credibly claims]
- VOICE: [3–5 adjectives]
Purpose
Parse an RFP stored in SharePoint and populate a structured RFP Tracker List with every actionable item, each broken out by category, flagged mandatory or not, traced to its source location, and given tracking columns for owner assignment and progress monitoring.
Prerequisites
- The RFP document (PDF, Word, etc.) must be accessible in SharePoint.
- The agent must have permission to create Lists and List items in the target site.
- If the package includes addenda, attachments, or a referenced Q&A document, those should also be accessible. Flag any that are missing in the summary.
Step 1 — Read the RFP Document
- Locate the RFP file in SharePoint using the path/URL provided. If the package has multiple documents (RFP body, SOW, attachments, addenda, Q&A), list every one and capture filename, page count, and document type.
- Extract the full text of each document.
- If a document is long, process it in sections but treat it as one document for extraction.
- Process addenda last and let them override. If an addendum changes a due date, page limit, or requirement, the later version wins. Diff the changed section against the original — do not assume addenda are purely additive.
Step 1b — (Optional) Capture Solicitation Metadata
Optionally capture solicitation-level facts to an RFP Metadata list (one record per RFP). Skip for simple RFPs unless the user asks.
| Field | Where to look |
|---|---|
| RFP / reference number | Cover page or header |
| Issuing organization | Cover page |
| Primary contact + email + phone | Instructions to bidders section |
| Submission deadline (date + time + zone) | Instructions section — check addenda |
| Question / clarification deadline | Instructions section |
| Page limits | Instructions / format section |
| Font / margin / spacing rules | Format section |
| File format and naming convention | Submission instructions |
| Submission method (portal, email) | Submission instructions |
| Period of performance / contract term | Scope or terms section |
| Anticipated award / decision date | Timeline or evaluation section |
| Evaluation approach | Evaluation section (lowest price, best value, weighted scoring, etc.) |
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 · 177 lines · 72 tokens per session scan A b66eb438aa9a
rfp-response-extraction is a skill published in the GitHub repository pnp/sharepoint-skills (110 stars, last pushed yesterday), licensed MIT. It adds 72 tokens to every session and 1,643 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 2026-08-30.
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