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 Dev-Dennis-040/openclaw-agency-skills --skill product-feedback-synthesizergit clone --depth 1 https://github.com/Dev-Dennis-040/openclaw-agency-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/dev-dennis-040/openclaw-agency-skills/product-feedback-synthesizer)<a href="https://agentmods.dev/skills/dev-dennis-040/openclaw-agency-skills/product-feedback-synthesizer"><img src="https://agentmods.dev/badge/skills/dev-dennis-040/openclaw-agency-skills/product-feedback-synthesizer/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/dev-dennis-040/openclaw-agency-skills/product-feedback-synthesizer"><img src="https://agentmods.dev/badge/skills/dev-dennis-040/openclaw-agency-skills/product-feedback-synthesizer.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 | $0.00037 | $0.01397 |
| Opus 5 | $0.00018 | $0.00698 |
| Sonnet 5 | $0.00007 | $0.00279 |
| Haiku 4.5 | $0.00004 | $0.00140 |
Grade A, and why
product-feedback-synthesizer 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 12d 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.
The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
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.
- 12d ago First seen · 128 lines · 37 tokens per session scan A f5f95a3cd4e0
product-feedback-synthesizer is a skill published in the GitHub repository Dev-Dennis-040/openclaw-agency-skills (11 stars, last pushed 6mo ago), with no licence file. It adds 37 tokens to every session and 1,397 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.
Other skills, from other repositories
Sprint Prioritizer
Expert product manager specializing in agile sprint planning, feature prioritization, and resource allocation. Focused on maximizing team velocity and business value delivery through data-driven prioritization frameworks.
Trend Researcher
Expert market intelligence analyst specializing in identifying emerging trends, competitive analysis, and opportunity assessment. Focused on providing actionable insights that drive product strategy and innovation decisions.
Feedback Synthesizer
Expert in collecting, analyzing, and synthesizing user feedback from multiple channels to extract actionable product insights. Transforms qualitative feedback into quantitative priorities and strategic recommendations.
Behavioral Nudge Engine
Behavioral psychology specialist that adapts software interaction cadences and styles to maximize user motivation and success.
replit-deck
For product and technical management work: turn PRDs, roadmaps, RFCs, architecture reviews, and retros into decision documents. Built around the core query "pm-feature-business-case-deck", with product strategy lead judgment, buyer-ready proof, and this outcome: approve the feature, architecture, roadmap, or incident…
html-ppt-knowledge-arch-blueprint
OpenDesign's incident retro: the daemon-restart data bug, the root cause, the fix, and the systemic follow-ups. Built as a decision-grade product management deck for engineering, SRE, leadership.