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 OpenLAIR/OpenSkill --skill evo-parallel-index-buildinggit clone --depth 1 https://github.com/OpenLAIR/OpenSkillWrote 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/openlair/openskill/evo-parallel-index-building)<a href="https://agentmods.dev/skills/openlair/openskill/evo-parallel-index-building"><img src="https://agentmods.dev/badge/skills/openlair/openskill/evo-parallel-index-building/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/openlair/openskill/evo-parallel-index-building"><img src="https://agentmods.dev/badge/skills/openlair/openskill/evo-parallel-index-building.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 | $0.00052 | $0.00429 |
| Opus 5 | $0.00026 | $0.00215 |
| Sonnet 5 | $0.00010 | $0.00086 |
| Haiku 4.5 | $0.00005 | $0.00043 |
Grade A, and why
evo-parallel-index-building 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 yesterday.
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
Parallel TF-IDF Index Building
Overview
Parallelizes TF-IDF index construction using MapReduce:
- Chunk: Split documents into chunks
- Map: Workers compute local TF and DF per chunk
- Reduce: Merge partial results (Counter.update for DF, dict.update for TF)
- Finalize: Compute IDF and TF-IDF scores, build inverted index
Key Formulas (matching sequential.py)
- TF(t,d) = count(t in d) / total_tokens(d)
- IDF(t) = log(N / df(t)) + 1
- TF-IDF = TF * IDF
- Posting lists sorted by score descending
Usage
import sys
sys.path.insert(0, '/app/environment/skills/evo-parallel-index-building/scripts')
from utils import (
chunk_documents,
map_index_chunk,
merge_partial_results,
finalize_tfidf_scores,
build_tfidf_index_parallel,
tokenize,
compute_term_frequencies
)
# Build index
index_dict, elapsed, num_docs, vocab_size = build_tfidf_index_parallel(
documents, num_workers=4, chunk_size=500
)
Functions
chunk_documents(documents, chunk_size=500)- Split docs into (doc_id, text) chunksmap_index_chunk(chunk)- Worker: compute local TF dict and DF Countermerge_partial_results(partial_results)- Merge all local TF/DF/vocabfinalize_tfidf_scores(all_doc_tf, global_df, vocabulary, num_documents)- Compute IDF and build inverted indexbuild_tfidf_index_parallel(documents, num_workers=None, chunk_size=500)- Full pipeline
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.
- yesterday First seen · 47 lines · 52 tokens per session scan A 9da6b52bf085
evo-parallel-index-building is a skill published in the GitHub repository OpenLAIR/OpenSkill (90 stars, last pushed 2d ago), licensed Apache-2.0. It adds 52 tokens to every session and 429 once invoked, about $0.0003 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 2026-09-11.
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