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.
git clone --depth 1 https://github.com/TobiasBlask/open-paper-machineWrote 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/commands/tobiasblask/open-paper-machine/analyze-positioning)<a href="https://agentmods.dev/commands/tobiasblask/open-paper-machine/analyze-positioning"><img src="https://agentmods.dev/badge/commands/tobiasblask/open-paper-machine/analyze-positioning/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/commands/tobiasblask/open-paper-machine/analyze-positioning"><img src="https://agentmods.dev/badge/commands/tobiasblask/open-paper-machine/analyze-positioning.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 | $0.00041 | $0.00286 |
| Opus 5.5 | $0.00016 | $0.00114 |
| Sonnet 5.5 | $0.00008 | $0.00057 |
| Haiku 4.5 | $0.00004 | $0.00029 |
Grade A, and why
analyze-positioning 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
Analyze Positioning: $ARGUMENTS
Activate the positioning-engine skill. Read skills/positioning-engine/SKILL.md in full.
Execute the complete 5-step positioning analysis:
- IDENTIFY the 5-10 closest competitor papers (from references + literature base)
- BUILD differentiation matrix across 6-10 key dimensions
- ANALYZE unique positioning, gaps, and potential reviewer challenges
- GENERATE draft positioning paragraph + refined contribution statement
- SAVE to
positioning_analysis.md
Input
$ARGUMENTS can be:
- Empty — analyzes the current draft against its own references
- Paper references (e.g.,
"compare against Wang2024, Smith2023, Chen2024") - Aspect to focus on (e.g.,
"focus on methodological differentiation")
Output
positioning_analysis.md— full analysis with differentiation matrix, positioning assessment, draft paragraph, and refined contribution statement- Ready-to-insert positioning paragraph for Introduction / Related Work
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 · 32 lines · 41 tokens per session scan A 43de853bb100
analyze-positioning is a command published in the GitHub repository TobiasBlask/open-paper-machine (20 stars, last pushed 6mo ago), licensed MIT. It adds 41 tokens to every session and 286 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 2026-08-30.
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