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 manishiitg/coding-agent-loop --skill inventory-availability-to-owner-actiongit clone --depth 1 https://github.com/manishiitg/coding-agent-loopWrote 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/manishiitg/coding-agent-loop/inventory-availability-to-owner-action)<a href="https://agentmods.dev/skills/manishiitg/coding-agent-loop/inventory-availability-to-owner-action"><img src="https://agentmods.dev/badge/skills/manishiitg/coding-agent-loop/inventory-availability-to-owner-action/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/manishiitg/coding-agent-loop/inventory-availability-to-owner-action"><img src="https://agentmods.dev/badge/skills/manishiitg/coding-agent-loop/inventory-availability-to-owner-action.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 | $0.00028 | $0.00669 |
| Opus 5.5 | $0.00011 | $0.00268 |
| Sonnet 5.5 | $0.00006 | $0.00134 |
| Haiku 4.5 | $0.00003 | $0.00067 |
Grade A, and why
inventory-availability-to-owner-action 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 20d 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 — 48 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Inventory Availability to Owner Action
Outcome
Produce a sourced variant/location exception, a merchant decision, and observed inventory or storefront evidence after any approved action.
When to use
Use for a stock mismatch, stale sync, oversell risk, or availability presentation problem with a specific Shopify variant and location. Do not treat the whole product or all locations as one stock number.
Discovery and user direction
Inspect existing Crews, inventory authority, warehouse or supplier source, storefront, policies, and owner. Propose reuse or creation and show the plan before Builder applies it. Selection copies guidance and pending SETUP.json; it adjusts nothing.
Required inputs
Bind store, market, product, variant, inventory item, location, observation time, authority, oversell rule, owner, and buyer impact. Record whether the location can fulfill the chosen market.
Plan and AgentWorks tools
Reuse or propose Catalog & Merchandising Analyst and Store Operations Coordinator. Builder may use create_crew with stable keys. Catalog reads ProductVariant and location-specific InventoryLevel and emits inventory-availability-exception/v1. Validate it with scripts/validate_handoff.py --exception-only <exception.json> before Operations reads it. Operations reconciles source authority and emits inventory-action-review/v1. Validate the pair, present the exact action and current value to the merchant, then use a separate authorized route for any stock or storefront write. Re-read the same location and buyer-facing page after execution.
Knowledge and persistence
Save stable store, market, product, variant, inventory item, location, case, action, approval, and provider IDs. Keep source times, old and proposed values, owner decisions, and prior retests. Re-read current state before repeats.
Validation and reporting
The validator checks identity, quantity types, approval, and receipts. The fictional exception and review pass; the wrong-location executed review fails. The reporting dashboard shows open, pending, executed, verified, and blocked cases with source links and cost. The validator cannot establish warehouse truth.
What ships with it
8 files 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.
- examples/invalid-inventory-action-review.json 660 B
- examples/inventory-action-review.json 873 B
- examples/inventory-availability-exception.json 870 B
- playbook.json 4.3 KB
- references/team-and-handoffs.md 1.9 KB
- scripts/test_validate_handoff.py 2.1 KB runs code
- scripts/validate_handoff.py 4.2 KB runs code
- SETUP.json 2.6 KB
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.
- 20d ago First seen · 48 lines · 28 tokens per session scan A 6e7e885a3b74
inventory-availability-to-owner-action is a skill published in the GitHub repository manishiitg/coding-agent-loop (13 stars, last pushed 19d ago), licensed MIT. It adds 28 tokens to every session and 669 once invoked, about $0.0001 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 2026-09-27.
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