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 prospective-hindsightgit 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/prospective-hindsight)<a href="https://agentmods.dev/skills/yogsoth-ai/stress-test/prospective-hindsight"><img src="https://agentmods.dev/badge/skills/yogsoth-ai/stress-test/prospective-hindsight/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/prospective-hindsight"><img src="https://agentmods.dev/badge/skills/yogsoth-ai/stress-test/prospective-hindsight.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 | $0.00602 |
| Opus 5 | $0.00015 | $0.00301 |
| Sonnet 5 | $0.00006 | $0.00120 |
| Haiku 4.5 | $0.00003 | $0.00060 |
Grade A, and why
prospective-hindsight 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 7d 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 — 75 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Prospective Hindsight Strategy
Assume the artifact has already failed. Retrospect: what went wrong?
Method
- premortem-facilitation frames the failure assumption
- Each participant generates independent failure scenarios
- failure-mode-extraction structures raw scenarios into failure mode list
- Scenarios are ranked by plausibility and severity
- High-risk items feed into FMEA pipeline (premortem-to-fmea-pipeline tactic)
Budget Table
| Parameter | S | M | L |
|---|---|---|---|
| Failure scenarios generated | 8 | 20 | 40 |
| Independent perspectives | 2 | 4 | 6 |
| Screening threshold (severity) | 7 | 5 | 3 |
Orchestration
premortem-facilitation → failure-mode-extraction
→ severity-scoring (rapid screen)
→ [high-severity items] → premortem-to-fmea-pipeline
Subagents
- premortem-facilitation (execute Klein protocol)
- failure-mode-extraction (structure scenarios)
- severity-scoring (rapid severity screen)
Available Tactics
Optional, no fixed order; the final leaf is always a sop.
| Tactic | When to use |
|---|---|
| failure-chain-tracing | Tactic: Trace upstream causes and downstream effects of each failure mode. Builds multi-level cause-mode-effect chains for systemic understanding. |
| premortem-to-fmea-pipeline | Tactic: Pre-mortem rapid screening feeds high-risk items into full FMEA analysis. Bridges fast intuitive generation with systematic structured analysis. |
Available SOPs
Optional, no fixed order; the final leaf is always a sop.
| SOP | When to use |
|---|---|
| failure-mode-extraction | Extract structured failure mode list from raw scenarios or artifact analysis. Produces standardized failure mode records. |
| premortem-facilitation | Execute Klein pre-mortem protocol — assume failure has occurred, generate plausible failure scenarios through prospective hindsight. |
| severity-scoring | Rate failure mode severity 1-10 based on end-effect impact. Follows AIAG-VDA severity scale calibrated for research artifacts. |
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.
- 7d ago First seen · 75 lines · 30 tokens per session scan A 93b871c4a3e6
prospective-hindsight is a skill published in the GitHub repository yogsoth-ai/stress-test (2 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 30 tokens to every session and 602 once invoked, about $0.0002 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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