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 Lonsdale201/wp-agent-skills --skill learndash-woocommerce-accessgit clone --depth 1 https://github.com/Lonsdale201/wp-agent-skillsWrote 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/lonsdale201/wp-agent-skills/learndash-woocommerce-access)<a href="https://agentmods.dev/skills/lonsdale201/wp-agent-skills/learndash-woocommerce-access"><img src="https://agentmods.dev/badge/skills/lonsdale201/wp-agent-skills/learndash-woocommerce-access/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/lonsdale201/wp-agent-skills/learndash-woocommerce-access"><img src="https://agentmods.dev/badge/skills/lonsdale201/wp-agent-skills/learndash-woocommerce-access.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 186 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00122 | $0.02036 |
| Opus 5 | $0.00061 | $0.01018 |
| Sonnet 5 | $0.00024 | $0.00407 |
| Haiku 4.5 | $0.00012 | $0.00204 |
Grade A, and why
learndash-woocommerce-access 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.
How it starts
The opening of the file, as written. The whole thing — 220 lines — stays where its author put it; the contents beside it link to each section on GitHub.
LearnDash WooCommerce access
Use this when WooCommerce products, orders, subscriptions, refunds, or product variations must grant or revoke LearnDash course/group access.
The LearnDash WooCommerce bridge is not just "on completed order call
ld_update_course_access()". It tracks product relations, variable product
relations, configurable order/subscription statuses, partial refunds,
subscription switches, order item mutations, access expiration, silent queued
enrollment, and a per-user counter so one access source does not remove another.
When to use this skill
Trigger when ANY of these appears:
- Plugin path/name
learndash-woocommerce. - Product meta
_related_courseor_related_group. - User meta
_learndash_woocommerce_enrolled_courses_access_counter. LearnDash\WooCommerce\Settings\Status_Access.- Options
learndash_woocommerce_enrollment_status_settings,learndash_woocommerce_silent_course_enrollment_queue, orlearndash_woocommerce_disable_access_removal_on_expiration. - Woo hooks around order status, refund, subscription status, subscription switch, order item added/deleted, customer change, or HPOS.
Product relation model
LearnDash WooCommerce stores related LearnDash objects on the Woo product or variation:
_related_courseis an array of LearnDash course IDs._related_groupis an array of LearnDash group IDs.- Simple products store relations on the product ID.
- Variable and variable-subscription parents clear parent-level relations and store relations on each variation.
- Runtime order processing checks the variation ID first; if no variation ID is present, it checks the product ID.
When building a compatible importer/sync, preserve that shape:
update_post_meta( $product_or_variation_id, '_related_course', array_map( 'absint', $course_ids ) );
update_post_meta( $product_or_variation_id, '_related_group', array_map( 'absint', $group_ids ) );
Do not store a scalar ID and do not attach courses only to a variable parent if the product is sold through variations.
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.
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 · 220 lines · 122 tokens per session scan A 3e915d573602
learndash-woocommerce-access is a skill published in the GitHub repository Lonsdale201/wp-agent-skills (22 stars, last pushed today), licensed MIT. It adds 122 tokens to every session and 2,036 once invoked, about $0.0006 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 2026-09-03.
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