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 addxai/enterprise-harness-engineering --skill voc-analysisgit clone --depth 1 https://github.com/addxai/enterprise-harness-engineeringWrote 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/addxai/enterprise-harness-engineering/voc-analysis)<a href="https://agentmods.dev/skills/addxai/enterprise-harness-engineering/voc-analysis"><img src="https://agentmods.dev/badge/skills/addxai/enterprise-harness-engineering/voc-analysis/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/addxai/enterprise-harness-engineering/voc-analysis"><img src="https://agentmods.dev/badge/skills/addxai/enterprise-harness-engineering/voc-analysis.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 | $0.00146 | $0.03139 |
| Opus 5 | $0.00073 | $0.01570 |
| Sonnet 5 | $0.00029 | $0.00628 |
| Haiku 4.5 | $0.00015 | $0.00314 |
Grade A, and why
voc-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 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.
How it starts
The opening of the file, as written. The whole thing — 270 lines — stays where its author put it; the contents beside it link to each section on GitHub.
VOC Analysis — Market Research and Voice of Customer Analysis
Description
Senior market research analyst workflow for comprehensive, data-driven VOC (Voice of Customer) analysis and competitive intelligence. Covers the full pipeline: multi-platform data collection (Reddit, Twitter, Amazon, App Store, YouTube, etc.) via Apify Agent Skills and web search, LLM semantic tagging, Python statistical counting, and Chinese report generation with English quotes preserved.
Prerequisites: Apify API Key (MANDATORY — must be completed first)
Apify is the core dependency of this Skill. VOC analysis cannot be performed without Apify.
Before starting ANY research, you MUST verify Apify is configured:
- Check
APIFY_TOKENenvironment variable:echo $APIFY_TOKEN - Or check
.envfile forAPIFY_TOKEN=...
If no API key is found, STOP IMMEDIATELY. Do NOT proceed. Tell the user:
"This Skill requires Apify for multi-platform data collection. Research cannot begin without an API Key.
Please follow these steps:
- Contact an admin to obtain an APIFY_TOKEN
- Install Apify Agent Skills:
npx skills add apify/agent-skills- Configure environment variable: add
APIFY_TOKEN=<your-token>to the.envfile- Come back to start the research after configuration is complete."
Apify is not optional. Web Search alone cannot complete a full VOC analysis (insufficient data volume, no structured collection, unable to cover multiple platforms). Apify must be available before work can begin.
Read references/apify-setup.md for detailed installation and configuration steps.
Rules
-
Data coverage is everything. Incomplete data → biased conclusions. Always collect from multiple platforms, build diverse queries, and cross-validate findings. Aim for 5+ query layers and 3+ platforms minimum.
-
Be a detective, not a tourist. Don't just check what exists — actively construct 10+ diverse queries. Explore adjacent topics, competitor spaces, and problem-space queries where users describe issues without mentioning the brand.
What ships with it
7 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.
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 · 270 lines · 146 tokens per session scan A 7d2e41903229
voc-analysis is a skill published in the GitHub repository addxai/enterprise-harness-engineering (44 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 146 tokens to every session and 3,139 once invoked, about $0.0007 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
peon-ping-create-pack
Internal — invoked headlessly by peon create; humans should run peon create instead. Author and render a brand-new PeonPing draft pack — invoked headlessly as: "Use the peon-ping-create-pack skill to draft a pack: name= flavor= vibe= draftroot= . Follow the skill exactly." Authors all 7 CESP categories honoring the…
peon-ping-use
Set which voice pack (character voice) plays for the current chat session. Automatically enables sessionoverride rotation mode if not already set. Use when user wants a specific character voice like GLaDOS, Peon, or Kerrigan for this conversation.
peon-ping-rename
Rename the current Claude session for peon-ping notifications and terminal tab title. Use when user wants to give this session a custom name like "/peon-ping-rename Auth Refactor". Call with no argument to reset to auto-detect.
peon-ping-toggle
Toggle peon-ping sound notifications on/off. Use when user wants to mute, unmute, pause, or resume peon sounds during a Claude Code session. Also handles config changes like volume, pack rotation, categories — any peon-ping setting.
peon-ping-log
Log exercise reps for the Peon Trainer. Use when user says they did pushups, squats, or wants to log reps. Examples - "/peon-ping-log 25 pushups", "/peon-ping-log 30 squats", "log 50 pushups".
peon-ping-remix
Internal — invoked headlessly by the peon eval server; humans should run peon eval instead. Execute one PeonPing reroll job — invoked headlessly by the peon eval server as: "Use the peon-ping-remix skill to execute the reroll job at ". Reads the job JSON (scope, category, index, caption), rewrites the affected sound…