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-sharegit 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-share)<a href="https://agentmods.dev/skills/waterplanai/agentic-config/ac-tools-agentic-share"><img src="https://agentmods.dev/badge/skills/waterplanai/agentic-config/ac-tools-agentic-share/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-share"><img src="https://agentmods.dev/badge/skills/waterplanai/agentic-config/ac-tools-agentic-share.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 | $0.00035 | $0.00698 |
| Opus 5 | $0.00017 | $0.00349 |
| Sonnet 5 | $0.00007 | $0.00140 |
| Haiku 4.5 | $0.00003 | $0.00070 |
Grade A, and why
ac-tools-agentic-share 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.
How it starts
The opening of the file, as written. The whole thing — 91 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agentic Asset Share
Compatibility Note
This pi wrapper preserves the shared import/export workflow directly in pi without relying on non-pi delegation primitives.
Core logic for moving reusable assets between projects and this repository.
Arguments
- mode:
import|export - asset_type:
skill|template|agent - source: source path or asset name
- target: optional destination name/path
- options: optional flags (
--plugin,--force,--dry-run)
Parsed from: $ARGUMENTS
Canonical Locations (v0.2)
| Type | Project Source | Repository Target |
|---|---|---|
| skill | .claude/skills/<name>/ or explicit skill dir |
packages/pi-<plugin>/skills/<name>/ |
| template | templates/<name>/ |
templates/<name>/ |
| agent | explicit agent markdown path | packages/pi-ac-workflow/assets/agents/<name>/ or another explicit packaged asset path |
Notes:
- There is no command asset type in v0.2 (skills-only surface).
- For skills,
--pluginis required unless destination can be inferred.
Execution Flow
- Parse mode, type, source, target, options.
- Validate mode (
importorexport). - Validate asset type (
skill,template,agent). - Validate repository root:
- must contain
.claude-plugin/marketplace.json - must contain
packages/
- must contain
- Resolve source and destination paths by type.
- Read source content (single file or directory tree).
- Apply sanitization:
- scrub absolute home paths (
/Users/...,/home/...) ->{USER_HOME} - scrub secrets/tokens (
api_key,token,secret, bearer values) ->{REDACTED}
- scrub absolute home paths (
- Validate sanitized output:
- block if unresolved secrets remain
- warn on environment-specific hardcoded values
- Write output (or preview with
--dry-run). - Report summary and next steps.
Safety Rules
- Never overwrite existing targets without
--forceor explicit confirmation. - Never proceed when unresolved secrets remain after sanitization.
- On any failure, abort with a clear error and leave no partial file writes.
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 · 91 lines · 35 tokens per session scan A b2453bc871a8
ac-tools-agentic-share is a skill published in the GitHub repository WaterplanAI/agentic-config (30 stars, last pushed 1mo ago), licensed MIT. It adds 35 tokens to every session and 698 once invoked, about $0.0002 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
vfx-text-cursor
A video or hero-frame effect where a cursor reveals a sentence character by character with coloured trails, light streaks, and a final shimmer.
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.
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.
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.