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 brandrylabs/claude-jsonl-compressor --skill claude-jsonl-compressorgit clone --depth 1 https://github.com/brandrylabs/claude-jsonl-compressorWrote 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/brandrylabs/claude-jsonl-compressor/claude-jsonl-compressor)<a href="https://agentmods.dev/skills/brandrylabs/claude-jsonl-compressor/claude-jsonl-compressor"><img src="https://agentmods.dev/badge/skills/brandrylabs/claude-jsonl-compressor/claude-jsonl-compressor/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/brandrylabs/claude-jsonl-compressor/claude-jsonl-compressor"><img src="https://agentmods.dev/badge/skills/brandrylabs/claude-jsonl-compressor/claude-jsonl-compressor.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 | $0.00091 | $0.04730 |
| Opus 5 | $0.00046 | $0.02365 |
| Sonnet 5 | $0.00018 | $0.00946 |
| Haiku 4.5 | $0.00009 | $0.00473 |
Grade A, and why
claude-jsonl-compressor 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 10d 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.
The source is not reproduced here
Licensed GPL-3.0
The repository is licensed GPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
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.
- 10d ago First seen · 346 lines · 91 tokens per session scan A d4d552e745fb
claude-jsonl-compressor is a skill published in the GitHub repository brandrylabs/claude-jsonl-compressor (2 stars, last pushed 29d ago), licensed GPL-3.0. It adds 91 tokens to every session and 4,730 once invoked, about $0.0005 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 2026-08-31.
Other skills, from other repositories
memory
Persistent global memory across conversations. Read memory file at start of every conversation, write important context during conversation so it survives context compression. Use ALWAYS. Triggered automatically.
studio-context-brief
Use when an active KIT-managed Goal needs compact brief, working, or resume context projections from trusted structured state while preserving exact technical literals and durable handoff authority.
agency-chief-of-staff
A coordinator for complex, multi-stage projects that span conversations and tasks. It helps discuss requirements, create execution plans, assign roles, track progress, and preserve useful project knowledge.
prewalk
Use when the user wants a coding task executed with a strong planner model first and a faster/cheaper executor model after the first successful implementation edit.
agency-discuss-plan-execute-progress-archive
Discovery bridge for staged projects: discuss, plan, launch tasks, track progress, verify and archive. Excludes small tasks and source maintenance.
chronicle-skysight
Use when recent Linux desktop activity memory would help answer a question or when the user asks to inspect or control Chronicle or Skysight.