backlog-md

backlog-md is a skill for Claude Code, Codex from NickCrew/Claude-Cortex. It costs 57 tokens per session (1,007 once invoked), scanned A, original, MIT.

Task tracking system for agents via Backlog.md CLI. Use when creating deferred issues during implementation, filing audit findings, working assigned tasks, or managing project work. Optimized for agent workflows: structured issue filing, priority/labeling system, and task completion tracking.

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/nickcrew/claude-cortex/backlog-md
Any agent
npx skills add NickCrew/Claude-Cortex --skill backlog-md
Clone the repo
git clone --depth 1 https://github.com/NickCrew/Claude-Cortex

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-md

README.md
[![agentmods](https://agentmods.dev/badge/skills/nickcrew/claude-cortex/backlog-md.svg)](https://agentmods.dev/skills/nickcrew/claude-cortex/backlog-md)
Your own site
<a href="https://agentmods.dev/skills/nickcrew/claude-cortex/backlog-md"><img src="https://agentmods.dev/badge/skills/nickcrew/claude-cortex/backlog-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 57 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,007 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown 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 $0.00057 $0.01007
Opus 5 $0.00028 $0.00504
Sonnet 5 $0.00011 $0.00201
Haiku 4.5 $0.00006 $0.00101

Measured today against content hash 28208afc1b14, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

backlog-md 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 today.

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.

skills/backlog-md/SKILL.md · 101 lines

How it starts

The opening of the file, as written. The whole thing — 101 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Backlog.md Task Tracking for Agents

Task tracking system optimized for agent workflows via Backlog.md CLI.

Three Primary Use Cases

1. Implementer: Deferring Issues During Feature Work

File P2-P4 issues discovered during implementation. Use label remediation for deferred review findings.

  • Create with plan: You have implementation context at filing time
  • Assign priority: See priority guide
  • Add type label (required) + app labels (optional)

2. Reviewer: Audit Findings

Create structured issues from security/audit reviews. Link dependencies and assign to milestones.

  • Create with plan: You're creating from audit context
  • Link dependencies as needed
  • Assign priority: Ask user if uncertain (label priority-review)
  • Set milestones

3. Worker: Executing Assigned Tasks

Read task fully, understand all fields, follow acceptance criteria and definition of done.

  • Claim task: backlog task edit 42 -s "In Progress" -a @myself
  • Read everything: All fields, attached files/URLs, linked documentation
  • Complete systematically: AC → Implementation Notes → Final Summary → DoD → Done

Absolute Rules

  1. CLI only for writes. backlog task edit and backlog task create only. Never edit files directly.
  2. Always use --plain flag when reading: backlog task 42 --plain, backlog task list --plain
  3. Type label required (bug|feature|documentation|refactor|remediation), single value only
  4. App labels optional, can be multiple: synapse-pingora, signal-horizon-ui, signal-horizon-api, etc.
  5. Custom labels allowed as agent-useful (priority-review, performance, security, etc.)

Implementation Plans: When Required

Scenario Include Plan? Reason
Deferred review issues ✅ YES You have audit/review context now
Reporting found issues ❌ NO Implementer will plan when they work it
Explicitly asked to plan work ✅ YES (detailed) Required per instruction
Regular task work After claiming, before coding Don't add at creation, add after starting

Read the full file on GitHub · 101 lines

Files

What ships with it

4 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.

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. today First seen · 101 lines · 57 tokens per session scan A 28208afc1b14

Subscribe to this mod's changes

backlog-md is a skill published in the GitHub repository NickCrew/Claude-Cortex (37 stars, last pushed 2mo ago), licensed MIT. It adds 57 tokens to every session and 1,007 once invoked, about $0.0003 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 2026-09-03.