Borrowing it
Nothing to install: this file belongs to shyamsridhar123/agentsmith-cli. 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/shyamsridhar123/agentsmith-cli/main/.github/skills/registry-jsonl-search-ranking/SKILL.mdgit clone --depth 1 https://github.com/shyamsridhar123/agentsmith-cliWrote 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/shyamsridhar123/agentsmith-cli/registry-jsonl-search-ranking)<a href="https://agentmods.dev/skills/shyamsridhar123/agentsmith-cli/registry-jsonl-search-ranking"><img src="https://agentmods.dev/badge/skills/shyamsridhar123/agentsmith-cli/registry-jsonl-search-ranking/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/shyamsridhar123/agentsmith-cli/registry-jsonl-search-ranking"><img src="https://agentmods.dev/badge/skills/shyamsridhar123/agentsmith-cli/registry-jsonl-search-ranking.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 | $0.00024 | $0.00198 |
| Opus 5 | $0.00012 | $0.00099 |
| Sonnet 5 | $0.00005 | $0.00040 |
| Haiku 4.5 | $0.00002 | $0.00020 |
Grade A, and why
registry-jsonl-search-ranking 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
Registry Jsonl Search Ranking
Build and query a JSONL registry with relevance scoring, type filtering, and trigger matching.
When to Use
Use this skill when:
- Working with code in
src/registry/index.ts/ - User mentions "registry"
- User mentions "search"
- User mentions "jsonl"
- User mentions "score"
- User mentions "index"
Patterns
- append-only JSONL entries for skills and agents
- scored search over name/description/triggers/category
- type filter (skill|agent) and result limiting
- list/get helpers for registry introspection
Examples
const registry = new Registry(cwd); const results = await registry.search(query, { type, limit });
Category
quality - Testing, validation, and code quality
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 · 37 lines · 24 tokens per session scan A e73588107daa
registry-jsonl-search-ranking is a skill published in the GitHub repository shyamsridhar123/agentsmith-cli (16 stars, last pushed 12d ago), licensed MIT. It adds 24 tokens to every session and 198 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 2026-08-30.
Other skills, from other repositories
My Skill
Content here.
task-generation
Reference material with the canonical task-format grammar and decomposition rules for plan-to-tasks expansion. Loaded on demand by generate-tasks; not directly invokable.
implementation-standards
Reference material with coding standards (defensive coding, error handling, testing patterns). Loaded on demand by the Developer sub-agent (.github/agents/developer.md); not directly invokable.
spec-authoring
Reference material for writing product, technical, and operational specifications (work-item priorities, requirement families, success criteria). Loaded on demand by specify-feature; not directly invokable.
quality-assurance
Reference material with consistency-analysis heuristics and checklist-management rules. Loaded on demand by analyze-compliance and quality-control; not directly invokable.
writing-quality
Removes common AI writing patterns while preserving meaning, evidence, structure, and SDDP traceability. Ambient through AGENTS.md; not directly invokable.