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 cowork-rfp-responsegit 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/cowork-rfp-response)<a href="https://agentmods.dev/skills/onewave-ai/claude-skills/cowork-rfp-response"><img src="https://agentmods.dev/badge/skills/onewave-ai/claude-skills/cowork-rfp-response/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/cowork-rfp-response"><img src="https://agentmods.dev/badge/skills/onewave-ai/claude-skills/cowork-rfp-response.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 | $0.00054 | $0.00752 |
| Opus 5 | $0.00027 | $0.00376 |
| Sonnet 5 | $0.00011 | $0.00150 |
| Haiku 4.5 | $0.00005 | $0.00075 |
Grade A, and why
cowork-rfp-response 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 13d 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 — 36 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Cowork RFP Response
Respond to an RFP the way a seasoned proposal manager does: decompose every requirement first, decide bid/no-bid honestly, reuse the best prior language, and never claim a capability the source documents do not support. Inputs: the RFP document and a folder of company material (past proposals, case studies, bios, certifications, pricing sheets).
Workflow
- Shred the RFP. Extract every numbered and implied requirement into a matrix: ID, requirement text (verbatim), type (mandatory/scored/informational), section owner, and any disqualifier ("must have X certification", "minimum N years"). Extract the logistics separately: due date, format, page limits, submission method, Q&A deadline, evaluation criteria and weights.
- Bid/no-bid check. Before drafting anything, report disqualifiers you cannot document from the company folder and requirements with weak evidence. Ask whether to proceed. This is the most valuable five minutes of the skill.
- Mine the folder. For each requirement, find the strongest supporting material: prior proposal sections, case studies with named results, team bios, certifications. Record source file and section in the matrix. Mark each requirement
STRONG(direct evidence),PARTIAL(adjacent evidence, needs framing), orGAP(nothing found). - Draft. Write the response following the RFP's mandated structure exactly. For
STRONGitems, adapt the best prior language to this client's context. ForPARTIAL, draft honest framing and flag it for review. ForGAP, insert a clearly marked[GAP: needs input -- suggested approach]block rather than fiction. - Compliance pass. Verify every mandatory requirement is addressed where the RFP says it must be, page/format limits hold, and required attachments are listed. Output
compliance-matrix.md(the full matrix with response locations) andrfp-response-draft.md. - Executive summary last. Write it after the body, leading with the client's stated problem in their own vocabulary and the 2-3 discriminators the evidence actually supports.
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.
- 13d ago First seen · 36 lines · 54 tokens per session scan A 3a4809286a39
cowork-rfp-response is a skill published in the GitHub repository OneWave-AI/claude-skills (291 stars, last pushed 1mo ago), licensed MIT. It adds 54 tokens to every session and 752 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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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.