deepen-plan

deepen-plan is a skill for Claude Code from jikig-ai/soleur. It costs 22 tokens per session (17,388 once invoked), scanned C, original, no licence file.

A planning tool that improves an existing plan by researching each section with separate agents. An agent is a software assistant that performs a focused task.

In plain words
What is it for?
Use it when an existing project plan needs deeper research before work begins.
Why use it?
It fills gaps in a plan by adding targeted research to each part.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the soleur plugin — 54 skills, 2 commands, 1 hook shipped together

Good fit Use it when an existing project plan needs deeper research before work begins.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/jikig-ai/soleur/deepen-plan
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.

Any agent
npx skills add jikig-ai/soleur --skill deepen-plan
Clone the repo
git clone --depth 1 https://github.com/jikig-ai/soleur

Made for: Claude Code.

Or install soleur, the plugin that ships this one along with the rest of its 54 skills, 2 commands, 1 hook.

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 deepen-plan

README.md
[![agentmods](https://agentmods.dev/badge/skills/jikig-ai/soleur/deepen-plan/github.svg)](https://agentmods.dev/skills/jikig-ai/soleur/deepen-plan)
Your own site
<a href="https://agentmods.dev/skills/jikig-ai/soleur/deepen-plan"><img src="https://agentmods.dev/badge/skills/jikig-ai/soleur/deepen-plan/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.

agentmods 80×15 button for deepen-plan

Your own site · 80×15
<a href="https://agentmods.dev/skills/jikig-ai/soleur/deepen-plan"><img src="https://agentmods.dev/badge/skills/jikig-ai/soleur/deepen-plan.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 22 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 17,388 The whole file, excluding the scripts and references it only reads on demand.
Security scan C 3 findings. A grade says what 26 rules found in the file — not that it is safe.
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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00022 $0.17388
Opus 5 $0.00011 $0.08694
Sonnet 5 $0.00004 $0.03478
Haiku 4.5 $0.00002 $0.01739

Measured today against content hash ec309b4e7896, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade C, and why

deepen-plan scanned grade C with 3 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 today.

The scan reads SKILL.md. This mod also ships 1 executable file (workflows/deepen-plan.workflow.js), 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.

Reads agent configuration directoriesmediumAgent snooping

.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.

find ~/.claude/plugins/cache -type d -name "skills" 2>/dev/null

Enumerates other installed skillsmediumAgent snooping

Other skills' SKILL.md files reveal prompts, capabilities and secrets that should be invisible to peers.

ls .claude/skills/

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

- **`discoverability_test.command`'s verb is not executable by preflight Check 10** — Check 10 runs this command inside a sandbox behind a deny-by-default allowlist, so a probe that cannot run should fail at authoring ti
plugins/soleur/skills/deepen-plan/SKILL.md · 890 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

Read it on GitHub

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. today Changed · +1 lines ec309b4e7896
  2. 6d ago First seen · 889 lines · 22 tokens per session scan C 94c0be6ed892

Subscribe to this mod's changes

deepen-plan is a skill published in the GitHub repository jikig-ai/soleur (15 stars, last pushed today), with no licence file. It adds 22 tokens to every session and 17,388 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it C with 3 findings (reads agent configuration directories, enumerates other installed skills, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-04.