Borrowing it
Nothing to install: this file belongs to ai4curation/ai-gene-review. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/ai4curation/ai-gene-review/main/.claude/skills/export-proposed-terms/SKILL.mdgit clone --depth 1 https://github.com/ai4curation/ai-gene-reviewWrote 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/ai4curation/ai-gene-review/export-proposed-terms)<a href="https://agentmods.dev/skills/ai4curation/ai-gene-review/export-proposed-terms"><img src="https://agentmods.dev/badge/skills/ai4curation/ai-gene-review/export-proposed-terms/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/ai4curation/ai-gene-review/export-proposed-terms"><img src="https://agentmods.dev/badge/skills/ai4curation/ai-gene-review/export-proposed-terms.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 | $0.00026 | $0.00447 |
| Opus 5.5 | $0.00010 | $0.00179 |
| Sonnet 5.5 | $0.00005 | $0.00089 |
| Haiku 4.5 | $0.00003 | $0.00045 |
Grade A, and why
export-proposed-terms 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 23d 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
Export Proposed Terms
Use this skill when the user asks for a TSV or tabular extract of ontology term requests recorded in gene review YAML files.
Run the helper from the repository root:
uv run python src/ai_gene_review/tools/export_proposed_terms.py -o reports/proposed_new_terms.tsv
Pass files or directories after the options to restrict the export. With no
inputs, the helper scans genes/**/*-ai-review.yaml.
The TSV defaults to reports/proposed_new_terms.tsv. It has one row per
top-level proposed_new_terms entry and skips reviews where
proposed_new_terms is empty. It includes:
- source review fields:
source_path,organism,gene_directory,review_id,gene_symbol,taxon_id,taxon_label - proposal fields:
term_index,proposed_name,proposed_definition,justification,proposed_parent_id,proposed_parent_label - structured evidence fields serialized as JSON:
proposed_mappings,supported_by
The exporter intentionally ignores knowledge_gaps[].proposed_terms; those are
nested gap-specific proposals, not the review's top-level ontology request list.
If the user explicitly asks for gap proposals too, write a separate ad hoc
extract with a column that distinguishes top-level terms from gap terms.
For custom column order, filtering, or aggregation, treat the generated TSV as a
staging table and post-process it with Python's csv module or pandas. Preserve
TSV safety by keeping embedded tabs and newlines out of scalar cells.
Treat the TSV as a read-only reporting view, not a round-trip editing source.
Scalar columns are whitespace-normalized for tabular readability; nested
proposed_mappings and supported_by values are compact JSON for inspection.
When updating a review, copy exact supporting_text from the source YAML or
publication cache, not from a TSV extract.
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.
- 23d ago First seen · 45 lines · 26 tokens per session scan A 38fdf1f11651
export-proposed-terms is a skill published in the GitHub repository ai4curation/ai-gene-review (24 stars, last pushed today), licensed BSD-3-Clause. It adds 26 tokens to every session and 447 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 2026-10-04.
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