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 WaterplanAI/agentic-config --skill ac-tools-agentic-importgit clone --depth 1 https://github.com/WaterplanAI/agentic-configWrote 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/waterplanai/agentic-config/ac-tools-agentic-import)<a href="https://agentmods.dev/skills/waterplanai/agentic-config/ac-tools-agentic-import"><img src="https://agentmods.dev/badge/skills/waterplanai/agentic-config/ac-tools-agentic-import/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/waterplanai/agentic-config/ac-tools-agentic-import"><img src="https://agentmods.dev/badge/skills/waterplanai/agentic-config/ac-tools-agentic-import.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 | $0.00027 | $0.00455 |
| Opus 5 | $0.00014 | $0.00228 |
| Sonnet 5 | $0.00005 | $0.00091 |
| Haiku 4.5 | $0.00003 | $0.00046 |
Grade A, and why
ac-tools-agentic-import 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 9d 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.
What it actually says
Agentic Import
Import an external asset into this repository.
Compatibility Note
This pi wrapper preserves the original import workflow without relying on the original non-pi delegation primitive.
Arguments
- asset_type:
skill|template|agent - source_path: absolute path to source asset
- target_name: optional destination name
- options: optional flags (
--plugin,--force,--dry-run)
Request: $ARGUMENTS
Execution
- Run the pre-flight checks below.
- Read
../ac-tools-agentic-share/SKILL.md. - Apply the bundled
Agentic Asset Shareworkflow inimportmode to the current request. - Do not ask the user to rerun the command under another skill; continue in the current invocation.
Examples
# Import a skill into ac-tools
/skill:ac-tools-agentic-import skill /path/to/project/.claude/skills/my-skill --plugin ac-tools
# Import template directory
/skill:ac-tools-agentic-import template /path/to/project/templates/onboarding
# Import workflow agent file
/skill:ac-tools-agentic-import agent /path/to/project/agents/spec-reviewer.md
# Preview without writing
/skill:ac-tools-agentic-import skill /path/to/skill --plugin ac-git --dry-run
Pre-Flight Check
Before continuing into the shared import workflow, verify:
- Current directory is repository root (contains
.claude-plugin/marketplace.jsonandpackages/). source_pathexists.source_pathis absolute.- If
asset_type=skill, a target plugin is provided or inferable.
If any check fails, stop with a clear error.
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.
- 9d ago First seen · 64 lines · 27 tokens per session scan A ff7b373e43e8
ac-tools-agentic-import is a skill published in the GitHub repository WaterplanAI/agentic-config (30 stars, last pushed 1mo ago), licensed MIT. It adds 27 tokens to every session and 455 once invoked, about $0.0001 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.
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migrate-skills-between-libraries
Use when moving skills between library workspaces or upgrading from a personal library to a team library. Export from one workspace, import into another.
audit-library-health
Use when checking the overall health of a skills library. Run doctor, validate, check for stale skills, and verify generated docs are in sync.
install-from-remote-library
Use when installing skills from a shared ai-agent-skills library repo. Inspect with --list first, prefer --collection, and preview with --dry-run before installing.
review-a-skill
Use when evaluating whether a skill belongs in a library. Preview content, check frontmatter, validate structure, and decide whether to keep, curate, or remove.
browse-and-evaluate
Use when exploring the ai-agent-skills catalog to find, compare, and evaluate skills before installing. Always use --fields to limit output size and --dry-run before committing to an install.