spec-anchored-agentic-development: Skill for Claude Code

.agents/skills/plan-from-issue/SKILL.md

plan-from-issue is a skill for Claude Code, Codex from w00fx/spec-anchored-agentic-development. It costs 15 tokens per session (244 once invoked), scanned A, original, MIT.

A planning assistant that reads a GitHub issue, project guidance, and the relevant specification, then proposes a phased implementation plan without changing the code.

In plain words
What is it for?
Use it for issue triage, implementation planning, identifying affected areas, and listing questions that need answers.
Why use it?
It turns an issue into a structured starting plan and highlights unclear points before implementation begins.

Skill for Claude CodeCodex

Written for Claude Code and Codex: disable-model-invocation in frontmatter, but also agents/openai.yaml present. Also seen: installed under .agents/ (shared by several agents); mentions AGENTS.md.

This is w00fx/spec-anchored-agentic-development's own configuration. It tells Claude Code and Codex how to work on spec-anchored-agentic-development 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 spec-anchored-agentic-development configures →

Reuse

Borrowing it

Nothing to install: this file belongs to w00fx/spec-anchored-agentic-development. 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/w00fx/spec-anchored-agentic-development/main/.agents/skills/plan-from-issue/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/w00fx/spec-anchored-agentic-development

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 plan-from-issue

README.md
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<a href="https://agentmods.dev/skills/w00fx/spec-anchored-agentic-development/plan-from-issue"><img src="https://agentmods.dev/badge/skills/w00fx/spec-anchored-agentic-development/plan-from-issue.svg" alt="Measured on agentmods" height="20"></a>
Per session 15 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 244 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 $0.00015 $0.00244
Opus 5 $0.00008 $0.00122
Sonnet 5 $0.00003 $0.00049
Haiku 4.5 $0.00002 $0.00024

Measured 2d ago against content hash 5ad6ae38d9e8, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

plan-from-issue 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 2d 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.

.agents/skills/plan-from-issue/SKILL.md · 25 lines

What it actually says

Take the issue number from the argument. Do:

  1. Use gh issue view <number> to read the full issue.
  2. Identify the affected capability from the stage: and area: labels (or equivalent — adapt to your label schema).
  3. Read the root AGENTS.md and that capability's scoped AGENTS.md when present.
  4. Read the current spec in specs///.
  5. Enter Plan Mode.
  6. Propose a phased implementation plan.
  7. List open questions if there's ambiguity.

Don't implement. Just plan.

This plan informs triage and issue refinement. Implementation re-plans inside implement-feature / implement-backlog, with its own gate — do not treat this output as the approved plan (protocol Phase 3).

Portability: this skill's body works as a standalone prompt in any harness — the semantic procedure is portable; invocation, permissions, and context loading need the harness adapter.

Files

What ships with it

1 file 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. 2d ago First seen · 25 lines · 15 tokens per session scan A 5ad6ae38d9e8

Subscribe to this mod's changes

plan-from-issue is a skill published in the GitHub repository w00fx/spec-anchored-agentic-development (5 stars, last pushed 4d ago), licensed MIT. It adds 15 tokens to every session and 244 once invoked, about $0.0001 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 2026-09-05.