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-exportgit 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-export)<a href="https://agentmods.dev/skills/waterplanai/agentic-config/ac-tools-agentic-export"><img src="https://agentmods.dev/badge/skills/waterplanai/agentic-config/ac-tools-agentic-export.svg" alt="Measured on agentmods" 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 | $0.00029 | $0.00462 |
| Opus 5 | $0.00015 | $0.00231 |
| Sonnet 5 | $0.00006 | $0.00092 |
| Haiku 4.5 | $0.00003 | $0.00046 |
Grade A, and why
ac-tools-agentic-export 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 7d 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 Export
Export assets from a project into this repository.
Compatibility Note
This pi wrapper preserves the original export workflow without relying on the original non-pi delegation primitive.
Arguments
- asset_type:
skill|template|agent - asset_name_or_path: source asset name/path in project
- agentic_config_path: optional path to this repository
- 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 inexportmode to the current request. - Do not ask the user to rerun the command under another skill; continue in the current invocation.
Examples
# Export project skill into ac-tools plugin
/skill:ac-tools-agentic-export skill my-skill --plugin ac-tools
# Export template directory
/skill:ac-tools-agentic-export template templates/release-checklist
# Export an agent markdown file
/skill:ac-tools-agentic-export agent /absolute/path/to/spec-reviewer.md
# Dry run preview
/skill:ac-tools-agentic-export skill my-skill --plugin ac-qa --dry-run
Pre-Flight Check
Before continuing into the shared export workflow, verify:
- Source asset exists in the project.
- Destination repository path is resolvable.
- For
skill, destination plugin is explicit or inferable.
If checks fail, provide a clear error and stop.
Path Resolution
Repository path resolution order:
- Explicit argument
- Current working directory (skill runs inside repo)
- Abort if not in agentic-config repo
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.
- 7d ago First seen · 71 lines · 29 tokens per session scan A c06eda05cb84
ac-tools-agentic-export is a skill published in the GitHub repository WaterplanAI/agentic-config (30 stars, last pushed 1mo ago), licensed MIT. It adds 29 tokens to every session and 462 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.
Other skills, from other repositories
curate-a-team-library
Use when building a managed team skills library for a real stack. Map work to shelves, browse before curating, write meaningful whyHere notes, and create a starter pack once the first pass is solid.
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.
share-a-library
Use when a managed library is ready to publish to GitHub and hand to teammates as an install command. Run the GitHub publishing steps, then return the exact shareable install command.
update-installed-skills
Use when syncing or updating previously installed skills to their latest version. Always dry-run updates before applying, and check for breaking changes.