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 5.5 | $0.00003 | $0.00264 |
| Sonnet 5.5 | $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 2mo 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.
- 2mo 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 (57 stars, last pushed 3mo ago), licensed MIT. It adds 7 tokens to every session and 660 once invoked, about $0.0000 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 2026-08-30.
plan_mode compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| plan_modeJorgejie/ai_scaffold | Skill | 57 | 3mo ago | MIT | A | 7 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 134k | yesterday | Apache-2.0 | A | 113 | Codex |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 2d ago | MIT | A | 200 | Claude Code, Codex |
| playwright-climicrosoft/playwright | Skill | 100k | today | Apache-2.0 | A | 19 | Claude Code |
| browser-automationopenclaw/openclaw | Skill | 394k | today | MIT | A | 36 | Claude Code |
| systematic-debuggingobra/superpowers | Skill | 315k | 6d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |