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 panjose/Co-Scientist --skill hypothesis-placement-tournamentgit clone --depth 1 https://github.com/panjose/Co-ScientistWrote 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/panjose/co-scientist/hypothesis-placement-tournament)<a href="https://agentmods.dev/skills/panjose/co-scientist/hypothesis-placement-tournament"><img src="https://agentmods.dev/badge/skills/panjose/co-scientist/hypothesis-placement-tournament/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/panjose/co-scientist/hypothesis-placement-tournament"><img src="https://agentmods.dev/badge/skills/panjose/co-scientist/hypothesis-placement-tournament.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 | $0.00020 | $0.00394 |
| Opus 5 | $0.00010 | $0.00197 |
| Sonnet 5 | $0.00004 | $0.00079 |
| Haiku 4.5 | $0.00002 | $0.00039 |
Grade A, and why
hypothesis-placement-tournament 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 11d 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
hypothesis-placement-tournament
Goal:
- Judge one placement-tournament matchup between a candidate hypothesis and one opponent.
Inputs:
research_plan/RESEARCH_PLAN.json- two
hypotheses/<id>/HYPOTHESIS.jsonartifacts with completed review bundles
Outputs:
- one
TournamentMatchContractresult for a placement tournament
Context Loading:
- Open
skills/shared-references/schema-index.md. - Read
packages/agent_contracts/ranking.pyand confirm the exactTournamentMatchContractshape before emitting the placement result. - Read
research_plan/RESEARCH_PLAN.json. - Read both hypotheses and their review bundles.
- Confirm that the match strategy is
placement_tournament.
Execution Prompt Contract:
- System Intent:
- You are making one single-turn comparative judgment between two reviewed hypotheses.
- Required Reasoning Focus:
- Compare explanatory power, mechanistic quality, feasibility, and testability against the active research goal.
- Prefer the hypothesis that would be more valuable to keep in the frontier.
- Do Not Do:
- Do not return a tie.
- Do not ignore major review failures.
- Output Shape:
- Emit one
TournamentMatchContract. match_strategy:placement_tournamentwinner_id: one of the two hypothesis IDsreasoning: concise but specific
- Emit one
Execution Steps:
- Open
skills/shared-references/schema-index.md, then readpackages/agent_contracts/ranking.pybefore emitting the placement match artifact. - Compare the two reviewed hypotheses for frontier placement.
- Choose exactly one winner.
- Emit one valid placement-tournament match result.
Completion Rule:
- This skill is complete only when one valid placement match result has been produced with a non-empty winner and reasoning.
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.
- 11d ago First seen · 55 lines · 20 tokens per session scan A 889179f705b6
hypothesis-placement-tournament is a skill published in the GitHub repository panjose/Co-Scientist (5 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 20 tokens to every session and 394 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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