generate-backlog

generate-backlog is a skill for Claude Code, Codex from stoa-platform/stoa. It costs 30 tokens per session (4,146 once invoked), scanned A, original, Apache-2.0.

A workflow that scans a codebase and roadmap, groups related findings into large Linear tickets, and checks for duplicates. Linear is a tool for tracking software work.

In plain words
What is it for?
Finding unfinished work, grouping it by component or theme, checking existing Linear tickets, and optionally creating batches of backlog items.
Why use it?
A backlog made of many tiny tickets can be difficult to maintain and may miss larger feature areas. This groups related work into substantial tickets and keeps a target amount of planned work.

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/stoa-platform/stoa/generate-backlog
Any agent
npx skills add stoa-platform/stoa --skill generate-backlog
Clone the repo
git clone --depth 1 https://github.com/stoa-platform/stoa

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 generate-backlog

README.md
[![agentmods](https://agentmods.dev/badge/skills/stoa-platform/stoa/generate-backlog.svg)](https://agentmods.dev/skills/stoa-platform/stoa/generate-backlog)
Your own site
<a href="https://agentmods.dev/skills/stoa-platform/stoa/generate-backlog"><img src="https://agentmods.dev/badge/skills/stoa-platform/stoa/generate-backlog.svg" alt="Measured on agentmods" height="20"></a>
Per session 30 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,146 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 $0.00030 $0.04146
Opus 5 $0.00015 $0.02073
Sonnet 5 $0.00006 $0.00829
Haiku 4.5 $0.00003 $0.00415

Measured 3d ago against content hash 2e5b484e5d35, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

generate-backlog 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 3d 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.

.claude/skills/generate-backlog/SKILL.md · 397 lines

How it starts

The opening of the file, as written. The whole thing — 397 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Generate Backlog — MEGA Ticket Pipeline

Scan the codebase and roadmap files, GROUP findings by component/theme into MEGA tickets (20-40 pts each, with phases and binary DoD), deduplicate against Linear, and optionally batch-create to maintain a 400+ pt backlog stock.

Philosophy: 10 MEGA tickets at 30 pts > 100 micro-tickets at 3 pts. Each ticket = a meaningful feature or improvement arc, not a single file fix.

Target: $ARGUMENTS

Linear IDs (cached)

Entity ID
Team (CAB-ING) <LINEAR_TEAM_ID>
Project (STOA Platform) <LINEAR_PROJECT_ID>
Assignee (<PRIMARY_ASSIGNEE>) <LINEAR_ASSIGNEE_ID>

Label IDs

Label ID
roadmap (parent — NOT assignable) <LABEL_ID_ROADMAP>
roadmap:gateway <LABEL_ID_ROADMAP_GATEWAY>
roadmap:dx <LABEL_ID_ROADMAP_DX>
roadmap:platform <LABEL_ID_ROADMAP_PLATFORM>
roadmap:community <LABEL_ID_ROADMAP_COMMUNITY>
roadmap:observability <LABEL_ID_ROADMAP_OBSERVABILITY>

Instance Label IDs (parallel dispatch)

Label ID Components
instance:backend <LABEL_ID_INSTANCE_BACKEND> cp-api, operator, infra, docs
instance:frontend <LABEL_ID_INSTANCE_FRONTEND> cp-ui, portal, shared
instance:auth <LABEL_ID_INSTANCE_AUTH> keycloak, IAM
instance:mcp <LABEL_ID_INSTANCE_MCP> stoa-gateway
instance:qa <LABEL_ID_INSTANCE_QA> e2e, tests

Step 0: Determine Mode

Argument Mode Description
(empty) / --scan Scan Read-only report, 0 Linear writes
--create Create Batch-create MEGA tickets on Linear (8-15 writes)
--theme <name> Themed scan Filter candidates by roadmap theme

Default is --scan (safe, CI-compatible).

Step 1: Inventory — Current Backlog Depth

Fetch all backlog issues (no cycle) from Linear:

linear.list_issues(
  team: "<LINEAR_TEAM_ID>",
  first: 100
)

Read the full file on GitHub · 397 lines

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. 3d ago First seen · 397 lines · 30 tokens per session scan A 2e5b484e5d35

Subscribe to this mod's changes

generate-backlog is a skill published in the GitHub repository stoa-platform/stoa (5 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 30 tokens to every session and 4,146 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 2026-08-31.