Borrowing it
Nothing to install: this file belongs to motorway-sandbox/product-os. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/motorway-sandbox/product-os/main/.claude/commands/product-suggestions-digest.mdgit clone --depth 1 https://github.com/motorway-sandbox/product-osWrote 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/commands/motorway-sandbox/product-os/product-suggestions-digest)<a href="https://agentmods.dev/commands/motorway-sandbox/product-os/product-suggestions-digest"><img src="https://agentmods.dev/badge/commands/motorway-sandbox/product-os/product-suggestions-digest/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/commands/motorway-sandbox/product-os/product-suggestions-digest"><img src="https://agentmods.dev/badge/commands/motorway-sandbox/product-os/product-suggestions-digest.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 | $0.00000 | $0.01320 |
| Opus 5 | $0.00000 | $0.00660 |
| Sonnet 5 | $0.00000 | $0.00264 |
| Haiku 4.5 | $0.00000 | $0.00132 |
Grade A, and why
product-suggestions-digest 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 7d 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 — 151 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Product Suggestions Monthly Digest
Generate a monthly digest of the most popular product suggestions from the {your-suggestions-channel} Slack channel (FeatureOS integration). Ranks suggestions by votes, includes historical mention counts, and posts a summary to {your-pm-channel}.
Instructions
Step 1: Read product suggestions from Slack
- Load Slack tools using ToolSearch
- The {your-suggestions-channel} channel ID is
{your-channel-id} - Read the full channel history using slack_read_channel with
limit: 100. Paginate with cursor if needed — you want the complete history to count all historical mentions - Also search using slack_search_public:
in:product-suggestions after:{30-days-ago-date}for recent activityin:product-suggestionsbroadly for historical context
- The channel is fed by a FeatureOS bot:
:sparkles:= new suggestion posted (includes title, description, category, poster name):thumbsup:= upvote on existing suggestion (includes voter name and suggestion title)- Thread replies = discussion and comments on suggestions
- For each unique suggestion, extract:
- Title/name
- FeatureOS URL
- Category (e.g. "3. Product - B2B experience")
- Who posted it and when
- Description (from the :sparkles: post)
- Total vote count (count of :sparkles: + :thumbsup: messages for that suggestion)
- Total historical mentions (votes + thread replies + status changes)
- All unique upvoters
- Any status changes (e.g. "Planned", "In progress")
- Any notable thread discussion
Important: Two FeatureOS URLs that differ only by a typo in the slug may be the same suggestion — merge them. Similarly, separate posts about the same underlying problem should be noted as related.
Step 2: Rank and analyse
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.
- 7d ago First seen · 151 lines · 0 tokens per session scan A fbedfbbae5e6
product-suggestions-digest is a command published in the GitHub repository motorway-sandbox/product-os (10 stars, last pushed 3mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,320 tokens. 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 2026-09-04.
Other commands, from other repositories
template
Manage issue templates for streamlined issue creation.
sync-linear
Sync current work with Linear ticket status.
add-note
Add an internal or external note to a ConnectWise PSA ticket.
fest-show
Show festival progression (in-progress tasks, roadmap, and dependency view).
dispatcher
Pick the next-best repo to work on across the portfolio — rank free repos, recommend one, claim its lease atomically, and route to the entry command.
workpm
A project-management workflow for coordinating multiple AI workers through five stages. It includes task assignment, shared activity logs, worker replacement, and final checks.