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 yogsoth-ai/de-anthropocentric-research-engine --skill budget-constrained-designgit clone --depth 1 https://github.com/yogsoth-ai/de-anthropocentric-research-engineWrote 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/yogsoth-ai/de-anthropocentric-research-engine/budget-constrained-design)<a href="https://agentmods.dev/skills/yogsoth-ai/de-anthropocentric-research-engine/budget-constrained-design"><img src="https://agentmods.dev/badge/skills/yogsoth-ai/de-anthropocentric-research-engine/budget-constrained-design/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/yogsoth-ai/de-anthropocentric-research-engine/budget-constrained-design"><img src="https://agentmods.dev/badge/skills/yogsoth-ai/de-anthropocentric-research-engine/budget-constrained-design.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 | $0.00014 | $0.00567 |
| Opus 5 | $0.00007 | $0.00283 |
| Sonnet 5 | $0.00003 | $0.00113 |
| Haiku 4.5 | $0.00001 | $0.00057 |
Grade A, and why
budget-constrained-design 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.
How it starts
The opening of the file, as written. The whole thing — 69 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Tactic: Budget-Constrained Design
Orchestration Pattern
- Assess Budget → Determine available GPU-hours, wall-clock time, and cost ceiling
- factor-identification → Identify all candidate factors
- Estimate Cost Per Run → Calculate time/compute for a single experiment run
- Compute Maximum Runs → budget / cost_per_run = max feasible runs
- level-specification → Constrain levels to fit within run budget
- Select Design Type → Choose most information-efficient design for the budget
- design-matrix-construction → Build the constrained design matrix
Decision Criteria
| Available Runs | Recommended Approach |
|---|---|
| < 10 | One-factor-at-a-time or Plackett-Burman screening |
| 10-30 | Fractional factorial (Resolution III-IV) |
| 30-60 | Fractional factorial (Resolution V) or Taguchi |
| 60-120 | Full factorial on top factors + screening on rest |
| 120+ | Full factorial or RSM with replication |
Optimization Strategies
- Sequential Design: Run screening first, then detailed study on important factors
- Adaptive Allocation: Allocate more runs to high-variance conditions
- Early Stopping: Define stopping criteria for clearly dominated configurations
- Transfer from Pilot: Use pilot study results to inform main study design
- Shared Controls: Reuse control/baseline runs across multiple comparisons
Quality Checks
- Does the design have sufficient power for the primary hypothesis?
- Are the most important factors given priority in the allocation?
- Is there a contingency plan if budget is cut mid-experiment?
- Are early stopping criteria pre-defined (not post-hoc)?
- Is the design balanced despite budget constraints?
Available SOPs
Optional, no fixed order; the final leaf is always a sop.
| SOP | When to use |
|---|---|
| design-matrix-construction | Build the experiment design matrix with proper orthogonality and balance |
| factor-identification | Identify independent, dependent, and control variables for an experiment |
| level-specification | Determine appropriate levels for each experimental factor |
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 · 69 lines · 14 tokens per session scan A 8bfd12c0f001
budget-constrained-design is a skill published in the GitHub repository yogsoth-ai/de-anthropocentric-research-engine (464 stars, last pushed today), licensed Apache-2.0. It adds 14 tokens to every session and 567 once invoked, about $0.0001 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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