What is analyze-feedback?

A skill for examining customer feedback, finding recurring themes, comparing them with sales or signup funnel measurements, and identifying likely root causes. A funnel is the sequence from initial interest to conversion.

Use it to investigate complaints, NPS drops, and conversion issues, then recommend actions based on the findings.

It helps connect customer complaints or falling NPS scores with measurable conversion problems instead of reviewing feedback in isolation.

How TaranpalSingh18/pmos-mcp configures OpenCode

Reuse

Borrowing it

Nothing to install: this file belongs to TaranpalSingh18/pmos-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/TaranpalSingh18/pmos-mcp/main/.opencode/skills/analyze-feedback/SKILL.md

Clone the repo

git clone --depth 1 https://github.com/TaranpalSingh18/pmos-mcp

Made for: OpenCode.

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/taranpalsingh18/pmos-mcp/analyze-feedback/github.svg)](https://agentmods.dev/skills/taranpalsingh18/pmos-mcp/analyze-feedback)

Your own site

<a href="https://agentmods.dev/skills/taranpalsingh18/pmos-mcp/analyze-feedback"><img src="https://agentmods.dev/badge/skills/taranpalsingh18/pmos-mcp/analyze-feedback/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/taranpalsingh18/pmos-mcp/analyze-feedback"><img src="https://agentmods.dev/badge/skills/taranpalsingh18/pmos-mcp/analyze-feedback.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 36 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 283 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 unknown 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.

Model	Per session	Once invoked
Fable 5.1	$0.00036	$0.00283
Opus 5.5	$0.00014	$0.00113
Sonnet 5.5	$0.00007	$0.00057
Haiku 4.5	$0.00004	$0.00028

Measured 2mo ago against content hash b5b12a553a89, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

analyze-feedback 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 2mo 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.

.opencode/skills/analyze-feedback/SKILL.md · 41 lines

The source is not reproduced here

No licence file

Read it on GitHub

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.

2mo ago First seen · 41 lines · 36 tokens per session scan A b5b12a553a89

Subscribe to this mod's changes

analyze-feedback is a skill published in the GitHub repository TaranpalSingh18/pmos-mcp (0 stars, last pushed 2mo ago), with no licence file. It adds 36 tokens to every session and 283 once invoked, about $0.0001 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 2026-08-31.

Analytics and metrics Marketing and SEO

analyze-feedback next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
analyze-feedbackTaranpalSingh18/pmos-mcp	Skill	0	2mo ago	none	A	36	OpenCode
imagegenopenai/codex	Skill	133k	yesterday	Apache-2.0	A	113	Codex
playwright-climicrosoft/playwright	Skill	99k	yesterday	Apache-2.0	A	19	Claude Code
local-ai-agentsmicrosoft/ai-agents-for-beginners	Skill	79k	4d ago	MIT	A	200	Claude Code, Codex
systematic-debuggingobra/superpowers	Skill	313k	3d ago	MIT	A	21	Claude Code
next-cache-components-adoptionvercel/next.js	Skill	143k	yesterday	MIT	A	95	Claude Code
next-partial-prefetching-adoptionvercel/next.js	Skill	143k	yesterday	MIT	A	103	Claude Code

pmos-mcp: Skill for OpenCode