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 systematic-factor-ablationgit 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/systematic-factor-ablation)<a href="https://agentmods.dev/skills/yogsoth-ai/stress-test/systematic-factor-ablation"><img src="https://agentmods.dev/badge/skills/yogsoth-ai/stress-test/systematic-factor-ablation/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/systematic-factor-ablation"><img src="https://agentmods.dev/badge/skills/yogsoth-ai/stress-test/systematic-factor-ablation.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 | $0.00030 | $0.00543 |
| Opus 5.5 | $0.00012 | $0.00217 |
| Sonnet 5.5 | $0.00006 | $0.00109 |
| Haiku 4.5 | $0.00003 | $0.00054 |
Grade A, and why
systematic-factor-ablation 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.
What it actually says
Systematic Factor Ablation Tactic
Ablation methodology: remove factors individually and measure conclusion degradation.
Orchestration
- factor-enumeration lists all factors supporting the conclusion
- single-factor-removal removes one factor, reasons about what changes
- fragility-measurement scores degradation (0.0 = no effect, 1.0 = collapse)
- Repeat steps 2-3 for each factor within budget
- load-bearing-identification ranks factors by degradation score
- Terminate when all factors tested or budget exhausted
Scoring
- 0.0–0.2: Decorative factor (conclusion unaffected)
- 0.2–0.5: Supporting factor (conclusion weakened but holds)
- 0.5–0.8: Important factor (conclusion significantly degraded)
- 0.8–1.0: Load-bearing factor (conclusion collapses without it)
Subagents Dispatched
- factor-enumeration (initial listing)
- single-factor-removal (per-factor ablation)
- fragility-measurement (degradation scoring)
- load-bearing-identification (final ranking)
Termination Conditions
- All factors within budget tested
- Early termination if first load-bearing factor found and budget is S
- Saturation: consecutive factors all score below 0.2
Available SOPs
Optional, no fixed order; the final leaf is always a sop.
| SOP | When to use |
|---|---|
| factor-enumeration | List all key factors, conditions, and assumptions that support or enable the artifact's conclusion. |
| fragility-measurement | Compute a fragility index from flip-point distances and degradation scores, summarizing how robust the conclusion is. |
| load-bearing-identification | Identify which factors are "load-bearing walls" — factors whose removal would collapse the conclusion. |
| single-factor-removal | Remove one specified factor from the artifact's support structure and reason about how the conclusion changes. |
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 · 65 lines · 30 tokens per session scan A 280ef7f139ce
systematic-factor-ablation is a skill published in the GitHub repository yogsoth-ai/stress-test (2 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 30 tokens to every session and 543 once invoked, about $0.0001 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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