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 charlieviettq/awesome-agent-skill --skill biz-tocgit clone --depth 1 https://github.com/charlieviettq/awesome-agent-skillWrote 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/charlieviettq/awesome-agent-skill/biz-toc)<a href="https://agentmods.dev/skills/charlieviettq/awesome-agent-skill/biz-toc"><img src="https://agentmods.dev/badge/skills/charlieviettq/awesome-agent-skill/biz-toc/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/charlieviettq/awesome-agent-skill/biz-toc"><img src="https://agentmods.dev/badge/skills/charlieviettq/awesome-agent-skill/biz-toc.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 | $0.00083 | $0.01199 |
| Opus 5 | $0.00042 | $0.00600 |
| Sonnet 5 | $0.00017 | $0.00240 |
| Haiku 4.5 | $0.00008 | $0.00120 |
Grade A, and why
"biz-toc" 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.
This is a copy
94% identical to biz-toc — 8 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 100 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Theory of Constraints (TOC)
Overview
TOC asserts that every system has at least one constraint (bottleneck) that limits total throughput. Improving non-bottleneck processes does NOT improve system output �� only improving the bottleneck does. The Five Focusing Steps provide a systematic method to find and manage constraints.
Framework
IRON LAW: The System Is Only as Strong as Its Weakest Link
Improving a non-bottleneck process is a WASTE of resources — it produces
more work-in-progress that piles up at the bottleneck. Before optimizing
any process, verify it IS the bottleneck. If it's not, stop.
The Five Focusing Steps
- IDENTIFY the constraint — Find the bottleneck (highest utilization, longest queue, most WIP accumulation)
- EXPLOIT the constraint — Maximize throughput at the bottleneck without adding resources (reduce downtime, eliminate waste at this step, ensure it never starves for input)
- SUBORDINATE everything else — Pace all other processes to the bottleneck's rhythm. Non-bottlenecks should NOT run at full capacity.
- ELEVATE the constraint — If exploitation isn't enough, invest to increase bottleneck capacity (add equipment, hire, outsource)
- REPEAT — After elevating, the constraint may shift to another process. Go back to Step 1.
Drum-Buffer-Rope (DBR) Scheduling
| Element | What It Is | Purpose |
|---|---|---|
| Drum | The bottleneck's pace | Sets the rhythm for the entire system |
| Buffer | Time buffer before the bottleneck | Ensures the bottleneck never starves for work |
| Rope | Signal to release work at the start | Controls WIP by tying input rate to bottleneck pace |
Throughput Accounting (TOC Financial Metrics)
| Metric | Definition |
|---|---|
| Throughput (T) | Revenue - Truly Variable Costs (materials only) |
| Investment (I) | Money tied up in the system (inventory, equipment) |
| Operating Expense (OE) | All other costs to run the system |
| Net Profit | T - OE |
| ROI | (T - OE) / I |
What ships with it
2 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.
- 9d ago First seen · 100 lines · 83 tokens per session scan A ae0050c1608b
"biz-toc" is a skill published in the GitHub repository charlieviettq/awesome-agent-skill (26 stars, last pushed 1mo ago), licensed MIT. It adds 83 tokens to every session and 1,199 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 94% identical to biz-toc, differing in 8 lines, and is treated as a copy.
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