backlog

backlog is a skill for Codex from lpalbou/AgoraHub. It costs 99 tokens per session (1,694 once invoked), scanned A, original, MIT.

A system for creating and maintaining a backlog: a durable list of planned work, completed work, decisions, and follow-up tasks.

In plain words
What is it for?
Use it to create, audit, normalize, update, complete, deprecate, or triage backlog items and related overview records.
Why use it?
It keeps execution history and priorities understandable to future agents instead of leaving planning details scattered or outdated.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: mentions Codex.

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/lpalbou/agorahub/backlog
Any agent
npx skills add lpalbou/AgoraHub --skill backlog
Clone the repo
git clone --depth 1 https://github.com/lpalbou/AgoraHub

Made for: 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

README.md
[![agentmods](https://agentmods.dev/badge/skills/lpalbou/agorahub/backlog.svg)](https://agentmods.dev/skills/lpalbou/agorahub/backlog)
Your own site
<a href="https://agentmods.dev/skills/lpalbou/agorahub/backlog"><img src="https://agentmods.dev/badge/skills/lpalbou/agorahub/backlog.svg" alt="Measured on agentmods" height="20"></a>
Per session 99 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,694 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 5.1 $0.00099 $0.01694
Opus 5 $0.00049 $0.00847
Sonnet 5 $0.00020 $0.00339
Haiku 4.5 $0.00010 $0.00169

Measured 5d ago against content hash f4103ef4eaab, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

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 5d 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.

skills/backlog/SKILL.md · 123 lines

How it starts

The opening of the file, as written. The whole thing — 123 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Backlog System

Use the backlog as durable planning memory, not as authority over the code. Keep enough history that a later agent can answer what was built, what is next, what was considered, what should not be built, why priorities changed, and what evidence proved completion.

Start With The Right Pass

  • If asked to create a backlog system from scratch, read references/layout-and-templates.md first and establish the directory layout, overview, and recurrent tasks before adding many items.
  • If asked to add or revise a backlog item, inspect the current code and docs first. Then read references/layout-and-templates.md for the correct item shape.
  • If asked to complete or deprecate work, read references/maintenance-checklists.md first so history, ledgers, links, and follow-ups are preserved.
  • If asked to clean up, normalize, triage, or sync the backlog, run the hygiene and follow-up flows in references/maintenance-checklists.md.

Apply The Operating Rules

  • Read the repository before writing backlog text. Treat stale backlog text as a bug.
  • Keep every item standalone enough for a future agent to execute without the original chat.
  • backlog owns work-item lifecycle, planning state, and implementation history. adr owns durable cross-task policy.
  • Separate committed work from speculative work:
    • planned/ for intended implementation work.
    • proposed/ for plausible but uncommitted ideas, risks, or experiments.
    • completed/ for closed audit records.
    • deprecated/ for superseded, rejected, or indefinitely deferred work.
    • recurrent/ for periodic process tasks.
  • Keep one durable overview that records counts, priorities, next recommended work, ledgers, and operating rules.
  • Every backlog item file must start with a four-digit global ID prefix: NNNN_<slug>.md. This is mandatory across planned/, proposed/, completed/, deprecated/, and topic subfolders. A number such as 0044 should identify one durable backlog item for search and references.
  • Do not put dates in backlog item filenames. Dates belong inside item metadata such as Created, Completed, Deprecated, or completion reports.
  • Preserve history instead of rewriting it away. Move items across states and append reports; do not silently replace earlier intent.
  • Cross-reference relevant ADRs, docs, code, tests, and related backlog items.
  • If a backlog item creates a rule that should outlive the task, do not leave that rule buried in backlog prose. Create or update an ADR before closure, or record explicit ADR state explaining why not.
  • When creating or updating an ADR from backlog work, use the adr skill when available and keep the ADR reader-first: title, status, Context, then Decision before optional metadata.
  • Use topical subfolders when several backlog items form one larger track. planned/<topic>/... and proposed/<topic>/... are valid when the topic README explains the track and the main overview still indexes the items.
  • Prefer one focused problem per item. Split oversized items instead of hiding multiple decisions inside one file.
  • Record explicit validation expectations. A backlog item is not done because code changed; it is done because required behavior and evidence landed.
  • After completion, review residual risks, open questions, optimization ideas, documentation gaps, and architecture insights. Preserve only the useful signals.
  • Tell the user when backlog and code disagree, and patch the backlog before implementation unless the user explicitly overrides that process.

Read the full file on GitHub · 123 lines

Files

What ships with it

3 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. 5d ago First seen · 123 lines · 99 tokens per session scan A f4103ef4eaab

Subscribe to this mod's changes

backlog is a skill published in the GitHub repository lpalbou/AgoraHub (2 stars, last pushed today), licensed MIT. It adds 99 tokens to every session and 1,694 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.