agilemarkdown: Skill for Claude Code

.claude/skills/am-plan/SKILL.md

am-plan is a skill for Claude Code from mreider/agilemarkdown. It costs 71 tokens per session (690 once invoked), scanned A, original, MIT.

An iteration-planning meeting for an Agile Markdown backlog, where the team chooses work based on priority and its usual amount of work per iteration.

In plain words
What is it for?
It helps identify committed stories, list work below the cutoff, total the planned points, and flag oversized or otherwise problematic items.
Why use it?
It makes the iteration commitment visible and highlights stories that need attention before work begins.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

This is mreider/agilemarkdown's own configuration. It tells Claude Code how to work on agilemarkdown itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything agilemarkdown configures →

Reuse

Borrowing it

Nothing to install: this file belongs to mreider/agilemarkdown. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/mreider/agilemarkdown/master/.claude/skills/am-plan/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/mreider/agilemarkdown

Made for: Claude Code.

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README.md
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Per session 71 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 690 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 $0.00071 $0.00690
Opus 5 $0.00036 $0.00345
Sonnet 5 $0.00014 $0.00138
Haiku 4.5 $0.00007 $0.00069

Measured 9d ago against content hash 47579ca8998e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

am-plan 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 9d 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/am-plan/SKILL.md · 76 lines

How it starts

The opening of the file, as written. The whole thing — 76 lines — stays where its author put it; the contents beside it link to each section on GitHub.

am-plan

The IPM is the short conversation at the start of each iteration where the team commits to the work. The commit is implicit: it is the rank order of _priority.md at the moment the iteration starts.

When this fires

  • Human says "let's plan", "run IPM", "what's the iteration".
  • New iteration is starting.
  • User invokes /am-plan.

What to do

  1. Identify the backlog. If multiple, ask which. Most projects have one.

  2. Call sprint_plan(backlog=<name>). The tool returns the rank order, divided into committed (top of priority up to rolling velocity) and below-line (the rest), plus warnings on stories that need attention before the iteration starts.

  3. Render the result to the human in a clear shape:

    Iteration plan: <backlog>   velocity <N> / iteration
    
    Committed:
      1. ★  <title>            <type>  <pts>p
      2. ●  <title>            <type>  <pts>p
      ...
    
    Below the line:
      <next 3-5 stories>
    
    Committed: <total> pts. Velocity: <N>. <Fits | Over by N pts>.
    
  4. Surface warnings explicitly. The common ones:

    • Oversized feature: a feature has an estimate above 8. Offer to call the am-decompose skill to split it.
    • Unestimated feature: a feature has no estimate. Ask the human for a Fibonacci value (1, 2, 3, 5, 8). Pivotal pattern: point by uncertainty, not by hours.
    • Overcommit: committed points exceed rolling velocity. Offer to trim from the bottom of the committed set.
  5. Wait for the human's response. Loop on edits: the human edits _priority.md (re-rank) or asks you to fix a story; you re-call sprint_plan; you re-render. The loop ends when the human is satisfied with the plan as rendered.

  6. The commit moment is implicit. The human says "let's go," or the human starts pulling the first story. Do not write a separate commit artifact.

What NOT to do

  • Do not invent estimates. If a story has no estimate, ask the human for one. Do not set one and move on.
  • Do not propose splitting a story without offering to call am-decompose. The decompose skill is the right tool; use it.
  • Do not pull a story (set_status started) during planning. The planning ceremony is a review; the iteration starts when the human pulls the first story afterwards.

Read the full file on GitHub · 76 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. 9d ago First seen · 76 lines · 71 tokens per session scan A 47579ca8998e

Subscribe to this mod's changes

am-plan is a skill published in the GitHub repository mreider/agilemarkdown (7 stars, last pushed 2mo ago), licensed MIT. It adds 71 tokens to every session and 690 once invoked, about $0.0004 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.

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