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 agentmods add skills/yogsoth-ai/stress-test/debate-transcript-analysisnpx skills add yogsoth-ai/stress-test --skill debate-transcript-analysisgit 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/debate-transcript-analysis)<a href="https://agentmods.dev/skills/yogsoth-ai/stress-test/debate-transcript-analysis"><img src="https://agentmods.dev/badge/skills/yogsoth-ai/stress-test/debate-transcript-analysis.svg" alt="Measured on agentmods" 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 | $0.00029 | $0.00341 |
| Opus 5 | $0.00015 | $0.00170 |
| Sonnet 5 | $0.00006 | $0.00068 |
| Haiku 4.5 | $0.00003 | $0.00034 |
Grade A, and why
debate-transcript-analysis 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 3d 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
Debate Transcript Analysis
Extracts key turning points from completed debates.
Execution
Subagent — spawned via subagent-spawning/spawn-agent.
Why Subagent
Post-debate analysis requires reviewing the full transcript with fresh eyes — isolated context prevents anchoring to any single round's perspective.
Input
- full_transcript: Complete debate transcript (all rounds)
- round_verdicts: All judge verdicts
- final_confidence: Final calibrated confidence score
Output
- turning_points: Moments where the debate shifted significantly
- key_vulnerabilities: Most impactful weaknesses identified
- strongest_defenses: Most effective counter-arguments
- unresolved_tensions: Issues that remained contested
- summary: Concise narrative of the debate arc
Budget
One unit = one transcript analysis per completed debate.
Available SOPs
Optional, no fixed order; the final leaf is always a sop.
| SOP | When to use |
|---|---|
| spawn-agent | Spawn a customized CC subagent with full MCP tool access. Used by SOPs that declare execution: subagent. |
What ships with it
1 file 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.
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.
- 3d ago First seen · 54 lines · 29 tokens per session scan A e082510995b2
debate-transcript-analysis is a skill published in the GitHub repository yogsoth-ai/stress-test (2 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 29 tokens to every session and 341 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 2026-08-31.
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