feedback-synthesis

feedback-synthesis is a skill for Codex from jeremylongworth-source/AgentSkills. It costs 62 tokens per session (345 once invoked), scanned A, original, MIT.

A method for turning customer comments and other product feedback into organised themes and evidence. It covers support tickets, interviews, surveys, reviews, and other customer statements.

In plain words
What is it for?
Use it to summarise customer pain, compare user groups, identify product opportunities, and prepare decisions or questions for further research.
Why use it?
It helps separate repeated problems from isolated opinions and keeps recommendations tied to the available evidence. It also highlights missing groups, conflicting feedback, and collection bias.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: mentions Codex.

Good fit Use it to summarise customer pain, compare user groups, identify product opportunities, and prepare decisions or questions for further research.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/jeremylongworth-source/agentskills/feedback-synthesis
Install

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.

Any agent
npx skills add jeremylongworth-source/AgentSkills --skill feedback-synthesis
Clone the repo
git clone --depth 1 https://github.com/jeremylongworth-source/AgentSkills

Made for: Codex.

Wrote 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.

agentmods badge for feedback-synthesis

README.md
[![agentmods](https://agentmods.dev/badge/skills/jeremylongworth-source/agentskills/feedback-synthesis/github.svg)](https://agentmods.dev/skills/jeremylongworth-source/agentskills/feedback-synthesis)
Your own site
<a href="https://agentmods.dev/skills/jeremylongworth-source/agentskills/feedback-synthesis"><img src="https://agentmods.dev/badge/skills/jeremylongworth-source/agentskills/feedback-synthesis/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.

agentmods 80×15 button for feedback-synthesis

Your own site · 80×15
<a href="https://agentmods.dev/skills/jeremylongworth-source/agentskills/feedback-synthesis"><img src="https://agentmods.dev/badge/skills/jeremylongworth-source/agentskills/feedback-synthesis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 62 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 345 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00062 $0.00345
Opus 5.5 $0.00025 $0.00138
Sonnet 5.5 $0.00012 $0.00069
Haiku 4.5 $0.00006 $0.00034

Measured 1mo ago against content hash 1e5a3401467b, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

feedback-synthesis 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 1mo 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.

skills/feedback-synthesis/SKILL.md · 48 lines

What it actually says

Feedback Synthesis

Core Workflow

  1. Define the product decision the feedback should inform.
  2. Inventory sources, segments, date range, sample size, collection bias, and evidence quality.
  3. Separate raw evidence from interpretation and recommendation.
  4. Cluster feedback by problem, user segment, workflow, severity, frequency, business impact, and confidence.
  5. Identify contradictions, outliers, missing segments, and disconfirming evidence.
  6. Convert findings into opportunities, risks, research questions, and product decisions.

Safety Rules

  • Do not treat anecdotal feedback as statistically representative.
  • Do not invent customer quotes, counts, segments, or business impact.
  • Do not include private customer data unless it is explicitly approved for the artifact.
  • Escalate when evidence would affect pricing, legal commitments, roadmap promises, or customer-specific decisions.

Deliverable Shape

For feedback synthesis, provide:

  • Decision to inform
  • Source inventory and limitations
  • Theme summary
  • Evidence table or bullet evidence
  • Segment differences
  • Confidence and gaps
  • Product opportunities
  • Recommended next decision or validation step

References

  • Read references/feedback-synthesis-checklist.md when synthesizing feedback, tickets, interviews, surveys, reviews, or voice-of-customer data.
Files

What ships with it

2 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.

Changes

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.

  1. 1mo ago First seen · 48 lines · 62 tokens per session scan A 1e5a3401467b

Subscribe to this mod's changes

feedback-synthesis is a skill published in the GitHub repository jeremylongworth-source/AgentSkills (1 stars, last pushed 17d ago), licensed MIT. It adds 62 tokens to every session and 345 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-09-03.

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