Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/aatirar/voc-claude-skillsnpx agentmods add skills/aatirar/voc-claude-skills/voc-source-reviewsWrote 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/aatirar/voc-claude-skills/voc-source-reviews)<a href="https://agentmods.dev/skills/aatirar/voc-claude-skills/voc-source-reviews"><img src="https://agentmods.dev/badge/skills/aatirar/voc-claude-skills/voc-source-reviews/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/aatirar/voc-claude-skills/voc-source-reviews"><img src="https://agentmods.dev/badge/skills/aatirar/voc-claude-skills/voc-source-reviews.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 | $0.00108 | $0.02152 |
| Opus 5 | $0.00054 | $0.01076 |
| Sonnet 5 | $0.00022 | $0.00430 |
| Haiku 4.5 | $0.00011 | $0.00215 |
Grade A, and why
voc-source-reviews 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 — 195 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/voc-source-reviews — Review Mining to Messaging Brief
Public reviews are the only Voice of Customer source where your competitors' customers write down, in their own words, what they hate about the product they already bought. That is the most directly usable copy input available anywhere, and most teams read maybe twenty of them.
This skill reads several hundred, counts what recurs, and hands back language you can put on a page.
Requires
| What | Value |
|---|---|
| MCP server | Apify (npx -y @apify/actors-mcp-server) with an Apify account |
| Env | APIFY_TOKEN |
| Cost | Paid. Roughly $0.10-$0.60 per domain per platform depending on the actor and review count. A four-domain run across five platforms typically lands between $2 and $8. Apify's free tier is $5 of credit total, not per month — a single wide run can consume it. |
| Node | 18+, for the counting script |
Always tell the user the estimated cost and wait for confirmation before the first run of a session. Getting a surprise Apify bill is the fastest way to make someone distrust a tool.
Step 1 — Parse arguments
/voc-source-reviews "yourproduct.com" "competitor1.com" "competitor2.com"
First domain is yours. Up to three competitors. Bare domains, no scheme, no path.
With no arguments: read context/product-context.md for domain and competitors. If neither
is available, ask once. Do not guess a competitor set.
If more than four domains are supplied, run the first four and say which you dropped.
Step 2 — Choose the actor
Review-site scrapers on Apify appear and break constantly, so do not hardcode one. Call
mcp__apify__search-actors for "G2 Capterra reviews scraper", read the top results with
mcp__apify__fetch-actor-details, and pick on: last-modified date, run count, and whether the
input schema accepts a domain or needs a per-platform product URL.
Record which actor you used in the report. When someone re-runs this in six months and gets different numbers, the actor choice is the first thing they will need to check.
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 · 195 lines · 108 tokens per session scan A 1a6b7cf1550f
voc-source-reviews is a skill published in the GitHub repository aatirar/voc-claude-skills (0 stars, last pushed 25d ago), licensed MIT. It adds 108 tokens to every session and 2,152 once invoked, about $0.0005 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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