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.
npx skills add xinghang-ee-cs/dev-runtime-skill --skill planning-layer-runtimegit clone --depth 1 https://github.com/xinghang-ee-cs/dev-runtime-skillWrote 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.
[](https://agentmods.dev/skills/xinghang-ee-cs/dev-runtime-skill/planning-layer-runtime)<a href="https://agentmods.dev/skills/xinghang-ee-cs/dev-runtime-skill/planning-layer-runtime"><img src="https://agentmods.dev/badge/skills/xinghang-ee-cs/dev-runtime-skill/planning-layer-runtime/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/xinghang-ee-cs/dev-runtime-skill/planning-layer-runtime"><img src="https://agentmods.dev/badge/skills/xinghang-ee-cs/dev-runtime-skill/planning-layer-runtime.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 5.1 | $0.00349 | $0.06349 |
| Opus 5.5 | $0.00140 | $0.02540 |
| Sonnet 5.5 | $0.00070 | $0.01270 |
| Haiku 4.5 | $0.00035 | $0.00635 |
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 1mo 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.
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.
What ships with it
18 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.
- agents/openai.yaml 1.5 KB
- references/00-planning-user-discovery.md 26 KB
- references/01-planning-core-rules.md 25 KB
- references/02-planning-change-levels.md 9.7 KB
- references/03-planning-doc-responsibility.md 51 KB
- references/04-planning-format-spec.md 106 KB
- references/05-planning-priority-system.md 5.9 KB
- references/06-planning-capability-governance.md 23 KB
- references/07-planning-conversation-runtime.md 114 KB
- references/08-planning-recovery-runtime.md 31 KB
- references/09-execution-intent-guard.md 4.5 KB
- references/10-planning-document-interaction-runtime.md 59 KB
- references/11-planning-ui-ux-execution-contract.md 23 KB
- references/12-planning-ui-ux-execution-example.md 18 KB
- references/13-planning-database-persistence-contract.md 22 KB
- references/14-bugfix-case-governance.md 1.9 KB
- scripts/validate_database_persistence_contract.py 35 KB runs code
- scripts/validate_ui_ux_contract.py 24 KB runs code
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.
- 1mo ago Changed · +15 lines · +98 tokens per session b8b0a6e34451
- 1mo ago First seen · 324 lines · 251 tokens per session scan A 8c4165bc8668
planning-layer-runtime is a skill published in the GitHub repository xinghang-ee-cs/dev-runtime-skill (11 stars, last pushed 1mo ago), licensed AGPL-3.0. It adds 349 tokens to every session and 6,349 once invoked, about $0.0014 per session on Opus 5.5. 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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