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 Jorgejie/ai_scaffold --skill plan_modegit clone --depth 1 https://github.com/Jorgejie/ai_scaffoldWrote 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/jorgejie/ai_scaffold/plan_mode)<a href="https://agentmods.dev/skills/jorgejie/ai_scaffold/plan_mode"><img src="https://agentmods.dev/badge/skills/jorgejie/ai_scaffold/plan_mode/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/jorgejie/ai_scaffold/plan_mode"><img src="https://agentmods.dev/badge/skills/jorgejie/ai_scaffold/plan_mode.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00007 | $0.00660 |
| Opus 5 | $0.00003 | $0.00330 |
| Sonnet 5 | $0.00001 | $0.00132 |
| Haiku 4.5 | $0.00001 | $0.00066 |
Grade A, and why
plan_mode 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 10d 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.
How it starts
The opening of the file, as written. The whole thing — 93 lines — stays where its author put it; the contents beside it link to each section on GitHub.
{{t "plan_mode.title"}}
{{t "plan_mode.trigger_title"}}
- {{t "plan_mode.trigger_1"}}
- {{t "plan_mode.trigger_2"}}
- {{t "plan_mode.trigger_3"}}
- {{t "plan_mode.trigger_4"}}
{{t "plan_mode.skip"}}
1 {{t "plan_mode.plan_output_title"}}
## 📋 {{t "plan_mode.plan_output_header"}}
**{{t "plan_mode.plan_output_task"}}**：[{{t "plan_mode.plan_output_task_desc"}}]
**{{t "plan_mode.plan_output_modules"}}**：[{{t "plan_mode.plan_output_modules_list"}}]
**{{t "plan_mode.plan_output_files"}}**：[N]
**{{t "plan_mode.plan_output_rules"}}**：[{{t "plan_mode.plan_output_rules_list"}}]
### {{t "plan_mode.plan_output_steps"}}
| # | {{t "plan_mode.plan_output_col_action"}} | {{t "plan_mode.plan_output_col_target"}} | {{t "plan_mode.plan_output_col_dep"}} | {{t "plan_mode.plan_output_col_check"}} |
|---|------|-------------|------|--------|
| 1 | ... | ... | — | ... |
### ⚠️ {{t "plan_mode.plan_output_risks"}}
### ✅ {{t "plan_mode.plan_output_done_criteria"}}
2 {{t "plan_mode.task_templates_title"}}
{{PLATFORM_SPECIFIC_TASK_TEMPLATES}}
{{#if HAS_NDK}}
2.N {{t "plan_mode.ndk_templates_title"}}
2.N.1 {{t "plan_mode.ndk_new_jni_title"}}
{{t "plan_mode.ndk_new_jni_content"}}
2.N.2 {{t "plan_mode.ndk_new_sign_title"}}
{{t "plan_mode.ndk_new_sign_content"}}
2.N.3 {{t "plan_mode.ndk_update_whitelist_title"}}
{{t "plan_mode.ndk_update_whitelist_content"}}
{{/if}}
3 {{t "plan_mode.principles_title"}}
{{t "plan_mode.principles"}}
4 {{t "plan_mode.collab_title"}}
{{t "plan_mode.collab_table_header"}} |---------|-----------| {{t "plan_mode.collab_new_page"}} {{t "plan_mode.collab_perf"}} {{t "plan_mode.collab_cross_module"}} {{t "plan_mode.collab_post_gen"}} {{#if HAS_NDK}} | {{t "plan_mode.collab_ndk_new_jni"}} | | {{t "plan_mode.collab_ndk_new_sign"}} | | {{t "plan_mode.collab_ndk_update_whitelist"}} | | {{t "plan_mode.collab_ndk_memory_opt"}} | {{/if}}
{{t "plan_mode.checkpoint_note"}}
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.
- 10d ago First seen · 93 lines · 7 tokens per session scan A cfac01133110
plan_mode is a skill published in the GitHub repository Jorgejie/ai_scaffold (53 stars, last pushed 29d ago), licensed MIT. It adds 7 tokens to every session and 660 once invoked, about $0.0000 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 2026-08-30.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…
next-cache-components-optimizer
Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…
next-partial-prefetching-adoption
Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…