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 ericrisco/rsc-harness --skill inventorygit clone --depth 1 https://github.com/ericrisco/rsc-harnessWrote 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/ericrisco/rsc-harness/inventory)<a href="https://agentmods.dev/skills/ericrisco/rsc-harness/inventory"><img src="https://agentmods.dev/badge/skills/ericrisco/rsc-harness/inventory/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/ericrisco/rsc-harness/inventory"><img src="https://agentmods.dev/badge/skills/ericrisco/rsc-harness/inventory.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 analysis-evasion · line 1 Suspicious Unicode normalization or mixed-script contentFix: Review the flagged content for security risks. Ensure no credentials, secrets, or sensitive data are exposed.
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 | $0.00066 | $0.02396 |
| Opus 5 | $0.00033 | $0.01198 |
| Sonnet 5 | $0.00013 | $0.00479 |
| Haiku 4.5 | $0.00007 | $0.00240 |
Grade A, and why
inventory 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 8d 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 — 132 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Inventory
You are setting stock policy: how much to hold, when to reorder, how much to reorder. You are not buying it (that is procurement) and not moving it (that is logistics-ops). You decide the numbers that tell the buyer what to order and when.
Leave behind two checkable artifacts every time:
- Reorder-policy table — one row per SKU:
sku, abc_class, avg_demand, lead_time, safety_stock, reorder_point, order_qty, review_mode. This is the standing policy. - Replenishment trigger list — the subset of SKUs whose
on_hand <= reorder_pointright now, with a suggested order quantity. This is the action.
scripts/verify.sh checks both for shape and the structural invariants (ROP ≥ safety stock, order_qty > 0, no false triggers). Run it before you hand anything off. It validates structure, not whether the buffers are commercially smart — that judgment is yours.
Pick the job
The flow genuinely branches. Find the row that matches the ask before doing anything else.
| Ask sounds like | Job | You produce |
|---|---|---|
| "which SKUs deserve tight control", "run ABC" | Classify | ABC×XYZ class per SKU → the abc_class column + a policy posture per class |
| "how much safety stock", "we keep running out / sitting on dead stock" | Size the buffer | safety_stock per SKU, chosen Z, chosen formula |
| "what's my reorder point", "set up min/max", "weekly or continuous" | Set policy | reorder_point, order_qty, review_mode → the full policy table |
| "is our stock policy working", "turnover", "cut dead stock" | Track | KPI panel against the business's own history + cycle-count cadence |
Classify before you size, size before you set policy. A uniform policy across every SKU is the original sin (anti-patterns table).
Classify first: ABC × XYZ
Rule: never apply one uniform service level or review mode to every SKU — control is a budget, spend it where the value and the volatility are. Bad: 95% service on all 800 SKUs. Good: 99% on the high-value/stable AX items, make-to-order or near-zero buffer on the low-value/erratic CZ items.
What ships with it
7 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.
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.
- 8d ago First seen · 132 lines · 66 tokens per session scan A 17c3adef12cb
inventory is a skill published in the GitHub repository ericrisco/rsc-harness (82 stars, last pushed yesterday), licensed MIT. It adds 66 tokens to every session and 2,396 once invoked, about $0.0003 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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