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/stress-test --skill structural-counterfactualgit clone --depth 1 https://github.com/yogsoth-ai/stress-testWrote 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/stress-test/structural-counterfactual)<a href="https://agentmods.dev/skills/yogsoth-ai/stress-test/structural-counterfactual"><img src="https://agentmods.dev/badge/skills/yogsoth-ai/stress-test/structural-counterfactual/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/stress-test/structural-counterfactual"><img src="https://agentmods.dev/badge/skills/yogsoth-ai/stress-test/structural-counterfactual.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 | $0.00038 | $0.00898 |
| Opus 5.5 | $0.00015 | $0.00359 |
| Sonnet 5.5 | $0.00008 | $0.00180 |
| Haiku 4.5 | $0.00004 | $0.00090 |
Grade A, and why
structural-counterfactual 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 1mo 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 — 95 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Structural Counterfactual Strategy
Pearl Three-Step: Abduction, Action, Prediction applied to artifact validation.
Method
- causal-claim-extraction identifies causal structure in the artifact
- factor-enumeration lists all factors in the causal model
- Abduction: fit background variables to observed evidence
- Action: single-factor-removal intervenes on one factor at a time
- Prediction: counterfactual-scenario-construction derives new outcome
- necessity-evaluation and sufficiency-evaluation score each factor
- load-bearing-identification synthesizes results
Budget Table
| Parameter | S | M | L |
|---|---|---|---|
| Factors modeled | 5 | 10 | 20 |
| Interventions per factor | 1 | 2 | 4 |
| Prediction depth | 2 | 4 | 8 |
Orchestration
causal-claim-extraction → factor-enumeration
→ [for each factor]:
single-factor-removal (abduction + action)
→ counterfactual-scenario-construction (prediction)
→ necessity-evaluation + sufficiency-evaluation
→ load-bearing-identification → fragility-measurement
Subagents
- causal-claim-extraction (model building)
- factor-enumeration (variable identification)
- single-factor-removal (intervention)
- counterfactual-scenario-construction (prediction)
- necessity-evaluation (PN scoring)
- sufficiency-evaluation (PS scoring)
- load-bearing-identification (synthesis)
- fragility-measurement (aggregation)
Available Tactics
Optional, no fixed order; the final leaf is always a sop.
| Tactic | When to use |
|---|---|
| causal-necessity-testing | Tactic: Extract causal claims, evaluate probability of necessity (PN) and sufficiency (PS) for each, classify into necessity-sufficiency quadrants. |
| systematic-factor-ablation | Tactic: List all factors, remove one at a time, assess conclusion stability, rank factors by load-bearing importance. |
Available SOPs
Optional, no fixed order; the final leaf is always a sop.
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.
- 1mo ago First seen · 95 lines · 38 tokens per session scan A 57472a2d5923
structural-counterfactual is a skill published in the GitHub repository yogsoth-ai/stress-test (2 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 38 tokens to every session and 898 once invoked, about $0.0002 per session on Opus 5.5. 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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