spec-riffrec-feedback-analysis

spec-riffrec-feedback-analysis is a skill for Claude Code from ronronner02/codepilot-agent. It costs 89 tokens per session (1,145 once invoked), scanned A, original, MIT.

A skill for examining Riffrec feedback recordings and their event data. Riffrec captures may be provided as bundles or as video and audio files.

In plain words
What is it for?
Use it with Riffrec ZIP bundles, session and event files, screen recordings, or common audio formats.
Why use it?
It defines when these recordings should be loaded and analyzed, so feedback evidence is not overlooked.

Skill for Claude Code

Written for Claude Code: installed under .claude/. Also seen: mentions subagents.

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.

agentmods
npx agentmods add skills/ronronner02/codepilot-agent/spec-riffrec-feedback-analysis
Any agent
npx skills add ronronner02/codepilot-agent --skill spec-riffrec-feedback-analysis
Clone the repo
git clone --depth 1 https://github.com/ronronner02/codepilot-agent

Made for: Claude Code.

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 spec-riffrec-feedback-analysis

README.md
[![agentmods](https://agentmods.dev/badge/skills/ronronner02/codepilot-agent/spec-riffrec-feedback-analysis.svg)](https://agentmods.dev/skills/ronronner02/codepilot-agent/spec-riffrec-feedback-analysis)
Your own site
<a href="https://agentmods.dev/skills/ronronner02/codepilot-agent/spec-riffrec-feedback-analysis"><img src="https://agentmods.dev/badge/skills/ronronner02/codepilot-agent/spec-riffrec-feedback-analysis.svg" alt="Measured on agentmods" height="20"></a>
Per session 89 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,145 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00089 $0.01145
Opus 5 $0.00044 $0.00573
Sonnet 5 $0.00018 $0.00229
Haiku 4.5 $0.00009 $0.00114

Measured 4d ago against content hash 29bdff37db4b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

spec-riffrec-feedback-analysis 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 4d ago.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/analyze_riffrec_zip.py, scripts/run-python.sh), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

.claude/skills/spec-riffrec-feedback-analysis/SKILL.md · 53 lines

How it starts

The opening of the file, as written. The whole thing — 53 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Riffrec Feedback Analysis

Turn raw product feedback into structured evidence for downstream agents. This skill is the consumption side of Riffrec, a capture tool that records synchronized screen + voice + event sessions and emits a riffrec-*.zip bundle.

Choose the path

Route to the matching reference based on the input. Read only that reference; do not load the others.

  • Setup — user has no recording yet and asks how to install Riffrec, capture a session, or share feedback. Read references/install-riffrec.md.
  • Quick bug report — input is a short recording (under ~60 seconds), the user describes a single specific issue, or asks for "quick", "small", or "just transcribe". Read references/quick-bug-report.md. Emit one concise bug report; skip the full artifact set and brainstorm handoff.
  • Extensive analysis — input is a longer recording, contains multiple issues / requirements / workflow walkthroughs, or the user wants requirements or brainstorm material. Read references/extensive-analysis.md. Always continue into the spec-brainstorm skill.

When the input is ambiguous (e.g., a zip arrived without context), inspect the recording length and event count before choosing. If still unclear, ask the user which path applies before running anything heavy.

Common rules

  • Keep raw recordings, audio chunks, zip contents, session dumps, and extracted screenshots local-only by default. Do not commit raw/ or frames/ directories unless the user explicitly asks and privacy is acceptable.
  • Text/metadata artifacts (requirements kickoff material, analysis summaries, problem analyses, source manifests) may be committed when they are needed for traceability and contain no sensitive data.
  • Use repo-relative screenshot paths in any committed doc so later agents can open the evidence without absolute local paths.

Dispatch Authorization Boundary

在把 recording evidence、transcript、screenshots 或 source-mapping context 交给任何 worker 前,记录:

Read the full file on GitHub · 53 lines

Files

What ships with it

6 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. 4d ago First seen · 53 lines · 89 tokens per session scan A 29bdff37db4b

Subscribe to this mod's changes

spec-riffrec-feedback-analysis is a skill published in the GitHub repository ronronner02/codepilot-agent (0 stars, last pushed 4d ago), licensed MIT. It adds 89 tokens to every session and 1,145 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 2026-08-31.

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