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 vasilyu1983/AI-Agents-public --skill software-searchgit clone --depth 1 https://github.com/vasilyu1983/AI-Agents-publicWrote 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/vasilyu1983/ai-agents-public/software-search)<a href="https://agentmods.dev/skills/vasilyu1983/ai-agents-public/software-search"><img src="https://agentmods.dev/badge/skills/vasilyu1983/ai-agents-public/software-search/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/vasilyu1983/ai-agents-public/software-search"><img src="https://agentmods.dev/badge/skills/vasilyu1983/ai-agents-public/software-search.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00038 | $0.02899 |
| Opus 5.5 | $0.00015 | $0.01160 |
| Sonnet 5.5 | $0.00008 | $0.00580 |
| Haiku 4.5 | $0.00004 | $0.00290 |
Grade A, and why
software-search 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 20d 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.
How it starts
The opening of the file, as written. The whole thing — 173 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Search Engineering
Build search features that return the right results, fast.
Quick Reference
| Need | Default | Deviate when |
|---|---|---|
| Full-text search, PostgreSQL already in the stack | tsvector/tsquery plus pg_trgm, both on GIN indexes |
Ranking quality is the gap (ts_rank is not BM25): add a BM25 extension if the host allows it and its licence fits. Facets with counts, typo tolerance, merchandising, or latency at scale: move to a dedicated engine |
| Dedicated engine | Managed service when no one owns search-cluster operations | Self-host when data residency, cost at volume, or query control requires it and someone owns the cluster |
| Embedded or client-side search | Embedded index (such as SQLite FTS5) or a static client-side index | The corpus or its update rate outgrows a shipped index |
| Semantic search | Vector retrieval as a complement to lexical recall, in the existing database first when it supports vectors | Judged-query evidence shows the in-database option misses the latency or recall target |
| Hybrid search | Keyword + vector, merged with reciprocal rank fusion | Native fusion is missing from the edition or licence tier you will run: fuse in the application |
| Autocomplete | Prefix matching, search-as-you-type index, debounced queries | |
| Faceted search | Aggregation queries, filter counts, hierarchical facets | |
| Search analytics | Click-through rate, zero-result queries, query refinement patterns | |
| Search UI | The chosen engine's client UI library, if it has one | Custom components when the library cannot express the UX |
Lookup step before naming an engine. Engine capabilities, licences, and managed-service limits change from release to release, so shortlist by the criteria above, then check each candidate's current documentation and licence. Start from data/sources.json; the capability matrix in references/engine-and-relevance.md is a starting point, not current fact.
What ships with it
15 files 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.
- agents/openai.yaml 271 B
- data/sources.json 8.4 KB
- learnings.consolidated.md 591 B
- learnings.md 367 B
- references/click-models-and-bias-correction.md 18 KB
- references/distributed-search-slos.md 14 KB
- references/engine-and-relevance.md 9.7 KB
- references/hybrid-search-and-reranking.md 13 KB
- references/learning-to-rank-pipeline.md 15 KB
- references/search-debugging.md 2.1 KB
- references/search-evaluation-guide.md 7.4 KB
- references/search-features-and-diagnostics.md 4.9 KB
- references/search-scenarios.md 4.2 KB
- references/user-feedback-learning.md 17 KB
- references/vector-search-api-and-sizing.md 8.7 KB
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.
- 20d ago Changed · -28 lines · +11 tokens per session 22563e80e5fb
- 1mo ago Changed · -342 lines 420f6bd398d6
- 1mo ago First seen · 543 lines · 27 tokens per session scan A 4b34ea2d1274
software-search is a skill published in the GitHub repository vasilyu1983/AI-Agents-public (101 stars, last pushed 10d ago), licensed MIT. It adds 38 tokens to every session and 2,899 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 2026-09-03.
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