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 pproenca/dot-skills --skill theory-of-constraintsgit clone --depth 1 https://github.com/pproenca/dot-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/pproenca/dot-skills/theory-of-constraints)<a href="https://agentmods.dev/skills/pproenca/dot-skills/theory-of-constraints"><img src="https://agentmods.dev/badge/skills/pproenca/dot-skills/theory-of-constraints/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/pproenca/dot-skills/theory-of-constraints"><img src="https://agentmods.dev/badge/skills/pproenca/dot-skills/theory-of-constraints.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00217 | $0.01867 |
| Opus 5 | $0.00109 | $0.00933 |
| Sonnet 5 | $0.00043 | $0.00373 |
| Haiku 4.5 | $0.00022 | $0.00187 |
Grade A, and why
theory-of-constraints 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 — 102 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Theory of Constraints
A diagnostic runbook for optimizing any process — a CI/build pipeline, a dev value stream, an Agent Skill or plugin, or a runtime code path — through Eliyahu Goldratt's Theory of Constraints (ToC).
The one idea that makes ToC powerful: every system has exactly one binding constraint at a time, and global throughput rises only when you improve that constraint. Effort spent anywhere else produces nothing — "an hour saved at a non-bottleneck is a mirage." This runbook finds the constraint with measurement, then walks the Five Focusing Steps to relieve it without creating new problems.
When to Apply
Use this skill when the user wants to optimize a process or workflow and any of these are true:
- They want to optimize but don't know where to start ("make this faster", "why is this slow", "reduce the cost of this").
- A local speedup didn't move the end-to-end result (you optimized the wrong thing).
- Work, queues, or WIP pile up at one stage while others sit idle.
- Everything looks 100% busy but little ships (high utilization, low throughput).
- They added capacity, parallelism, or resources and it didn't help.
- Fixing one bottleneck just surfaces another.
- The real limiter is a policy or rule, not a resource (a mandatory full test suite, serialized review, a "read every reference" instruction, batch-everything releases).
- They're stuck in a tradeoff that blocks the obvious fix ("faster vs safer", "smaller context vs more coverage").
Do not use this skill for:
- A specific, already-localized hotspot where the constraint is known — go straight to the fix (e.g. an O(n²) loop →
complexity-optimizer). - Pure correctness/quality review with no throughput goal — use a code-review skill.
- Micro-optimizing a stage you have not yet proven is the constraint. That is the cardinal ToC error; this skill exists to stop it.
The Process of Ongoing Improvement (POOGI)
ToC is a loop, not a one-shot. Always run it in order — exploiting before elevating is what separates ToC from "just throw resources at it."
What ships with it
19 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.
- assets/templates/report.md 3.2 KB
- config.json 1.7 KB
- gotchas.md 3.5 KB
- metadata.json 1.2 KB
- references/conflict-resolution-tree.md 5.7 KB
- references/elevation-misfire-tree.md 4.8 KB
- references/find-the-constraint-tree.md 5.5 KB
- references/local-optimum-tree.md 3.9 KB
- references/moving-constraint-tree.md 5.4 KB
- references/policy-constraint-tree.md 5.9 KB
- references/queries/five-focusing-steps.sh 4.0 KB runs code
- references/queries/measure-stage-times.sh 4.0 KB runs code
- references/queries/measure-wip.sh 3.5 KB runs code
- references/queries/skill-context-cost.sh 4.1 KB runs code
- references/queries/throughput-accounting.py 5.0 KB runs code
- references/queries/utilization-vs-throughput.py 4.8 KB runs code
- references/symptoms.md 3.7 KB
- references/utilization-trap-tree.md 4.3 KB
- references/wip-accumulation-tree.md 5.0 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.
- 8d ago First seen · 102 lines · 217 tokens per session scan A 182be4ff67fe
theory-of-constraints is a skill published in the GitHub repository pproenca/dot-skills (207 stars, last pushed 27d ago), licensed MIT. It adds 217 tokens to every session and 1,867 once invoked, about $0.0011 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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