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 agentmods add skills/ssbun/csl-agent-kit/tldrnpx skills add SSBun/csl-agent-kit --skill tldrgit clone --depth 1 https://github.com/SSBun/csl-agent-kitWrote 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/ssbun/csl-agent-kit/tldr)<a href="https://agentmods.dev/skills/ssbun/csl-agent-kit/tldr"><img src="https://agentmods.dev/badge/skills/ssbun/csl-agent-kit/tldr.svg" alt="Measured on agentmods" 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 | $0.00064 | $0.00704 |
| Opus 5 | $0.00032 | $0.00352 |
| Sonnet 5 | $0.00013 | $0.00141 |
| Haiku 4.5 | $0.00006 | $0.00070 |
Grade A, and why
tldr 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 5d 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 — 53 lines — stays where its author put it; the contents beside it link to each section on GitHub.
TLDR
Select a brief overview or detailed chat report only from the criteria below.
Route
Route background, delegated, or repository-file research to research; glossary, change-map, or caller-based orientation to repo-map; and review, audit, advice, tutorials, plans, implementation, or remediation to the matching capability.
Use the explicit target, otherwise the current topic segment. Ask one question only when target ambiguity blocks a faithful response.
Select the Mode
Count cues only when they describe the requested response, not quoted text, source content, or a target name.
- Brief:
TL;DR,brief,quick,concise,one-screen,high-level; Chinese:简短,简要,快速,简洁,一屏,高层概览. - Detailed:
explore,deep,in-depth,detailed,comprehensive,thorough,full report,analyze; Chinese:探索,深入,详细,全面,彻底,完整报告,分析. - Also select detailed when the user explicitly requests at least three of: key facts; mechanism or structure; domain context; limitations or open questions; complete sources.
- If both match, ask only: “Do you want a brief or detailed response?” Do not choose. If neither matches, use brief.
A bare /tldr is not a brief cue. Target type, size, length, complexity, and Agent judgment never affect the mode.
Gather
- Brief: retrieve only enough for identity, purpose, important structure, and material context.
- Detailed: read a URL target first; prefer primary sources for topics and authoritative, directly relevant files for projects.
- Never turn project understanding into a durable report, exhaustive inventory, audit, or implementation plan.
- Separate facts from inference. Disclose conflicts, uncertainty, inaccessible material, and partial coverage.
Output
Brief
- Start with
**TL;DR:**and one to three sentences establishing the whole. - Add the fewest useful bullets, normally no more than five.
- Keep it to roughly one screen; prioritize structure and relationships.
What ships with it
2 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.
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.
- 5d ago First seen · 53 lines · 64 tokens per session scan A b29005ab77e9
tldr is a skill published in the GitHub repository SSBun/csl-agent-kit (10 stars, last pushed 3d ago), licensed MIT. It adds 64 tokens to every session and 704 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 2026-08-31.
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