What is planning-layer-runtime?

An interactive planning layer for software projects. It records verified facts, decisions, requirements, design details, and development plans so later work has an up-to-date reference.

Use it to run planning interviews, maintain requirements across work periods, create planning documents, manage changes, and prepare instructions for development, testing, and review.

It reduces lost requirements, unclear decisions, outdated plans, and mismatches between the design and the implementation.

planning-layer-runtime — Skill by xinghang-ee-cs

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/xinghang-ee-cs/dev-runtime-skill/planning-layer-runtime

Any agent

npx skills add xinghang-ee-cs/dev-runtime-skill --skill planning-layer-runtime

Clone the repo

git clone --depth 1 https://github.com/xinghang-ee-cs/dev-runtime-skill

Made for: Claude Code, Codex.

Per session 251 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 5,539 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.

Model	Per session	Once invoked
Fable 5	$0.00251	$0.05539
Opus 5	$0.00125	$0.02769
Sonnet 5	$0.00050	$0.01108
Haiku 4.5	$0.00025	$0.00554

Measured 2d ago against content hash 8c4165bc8668, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

planning-layer-runtime 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.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/validate_database_persistence_contract.py, scripts/validate_ui_ux_contract.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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/planning-layer-runtime/SKILL.md · 324 lines

The source is not reproduced here

Licensed AGPL-3.0

The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.

Read it on GitHub

Files

What ships with it

17 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.

2d ago First seen · 324 lines · 251 tokens per session scan A 8c4165bc8668

Subscribe to this mod's changes

planning-layer-runtime is a skill published in the GitHub repository xinghang-ee-cs/dev-runtime-skill (9 stars, last pushed 9d ago), licensed AGPL-3.0. It adds 251 tokens to every session and 5,539 once invoked, about $0.0013 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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