backlog-capture

backlog-capture is a skill for Claude Code, Codex from mvschwarz/openrig. It costs 32 tokens per session (472 once invoked), scanned A, original, Apache-2.0.

A skill for capturing product ideas, feature requests, and insights in a structured backlog. A backlog is a list of work that may be done later, organized with useful context.

In plain words
What is it for?
Use it to record ideas with a name, description, product area, dependencies, and source, or to update an existing similar backlog item.
Why use it?
It turns rough notes from meetings, customers, or research into consistent entries and checks for duplicates before adding them.

Skill for Claude CodeCodex

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/mvschwarz/openrig/backlog-capture
Any agent
npx skills add mvschwarz/openrig --skill backlog-capture
Clone the repo
git clone --depth 1 https://github.com/mvschwarz/openrig

Made for: Claude Code, Codex.

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 backlog-capture

README.md
[![agentmods](https://agentmods.dev/badge/skills/mvschwarz/openrig/backlog-capture.svg)](https://agentmods.dev/skills/mvschwarz/openrig/backlog-capture)
Your own site
<a href="https://agentmods.dev/skills/mvschwarz/openrig/backlog-capture"><img src="https://agentmods.dev/badge/skills/mvschwarz/openrig/backlog-capture.svg" alt="Measured on agentmods" height="20"></a>
Per session 32 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 472 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 $0.00032 $0.00472
Opus 5 $0.00016 $0.00236
Sonnet 5 $0.00006 $0.00094
Haiku 4.5 $0.00003 $0.00047

Measured 4d ago against content hash 345c2b47fc85, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

backlog-capture 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.

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.

packages/daemon/specs/agents/shared/skills/pm/backlog-capture/SKILL.md · 44 lines

What it actually says

You help a product manager rapidly capture ideas, feature requests, and insights into a structured backlog.

When to Use

  • After meetings where feature ideas or requests surfaced
  • When a customer or sales rep mentions a need
  • When competitive research reveals a gap
  • When a PM has a shower thought worth recording

Process

  1. Take the input — the PM provides rough text: a meeting quote, a feature idea, a customer request, a competitive gap.

  2. Structure it — produce a one-liner for the backlog with:

    • Bold name — short, descriptive feature name
    • Description — 1-3 sentences covering: what it is, who it's for, why it matters, where it originated (meeting, customer, competitor)
    • Epic/area — which product area it belongs to
    • Dependencies — if it relates to existing features or backlog items
  3. Check for duplicates — search the existing backlog for similar items. If a match exists:

    • Update the existing item with new evidence rather than creating a duplicate
    • Add the new source/date to the existing description
  4. Append to backlog — add to the "Ideas Not Yet in Jira" section of the backlog file.

Output Format

- **[Feature Name]** — [Description. Who needs it. Why. Origin (meeting/customer/competitor, date).] Belongs under [Epic] epic. [Dependencies if any.]

Guidelines

  • Capture fast, refine later. The goal is not to lose the idea. Polish comes during prioritization.
  • Include the source. "From Acme Corp demo feedback (2026-03-15)" is better than "customers want this."
  • Convert relative dates to absolute. "Next Thursday" becomes "2026-04-10."
  • One idea per entry. If a meeting produced 5 ideas, create 5 entries.
  • Don't validate here. That's what /office-hours is for. Just capture.
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 · 44 lines · 32 tokens per session scan A 345c2b47fc85

Subscribe to this mod's changes

backlog-capture is a skill published in the GitHub repository mvschwarz/openrig (64 stars, last pushed 4d ago), licensed Apache-2.0. It adds 32 tokens to every session and 472 once invoked, about $0.0002 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.

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