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 julianobarbosa/claude-code-skills --skill tldrgit clone --depth 1 https://github.com/julianobarbosa/claude-code-skillsWrote 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/julianobarbosa/claude-code-skills/tldr)<a href="https://agentmods.dev/skills/julianobarbosa/claude-code-skills/tldr"><img src="https://agentmods.dev/badge/skills/julianobarbosa/claude-code-skills/tldr/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/julianobarbosa/claude-code-skills/tldr"><img src="https://agentmods.dev/badge/skills/julianobarbosa/claude-code-skills/tldr.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Memory Poisoning · line 4 Skill manipulates agent memory, state, or stored context. Memory corruption can alter personality, override safety rules, or cause unpredictable behavior.Fix: Protect agent memory and state from modification by untrusted content. Use read-only memory for critical instructions and validate all state changes.
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 | $0.00047 | $0.01595 |
| Opus 5 | $0.00023 | $0.00797 |
| Sonnet 5 | $0.00009 | $0.00319 |
| Haiku 4.5 | $0.00005 | $0.00160 |
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 8d 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 — 166 lines — stays where its author put it; the contents beside it link to each section on GitHub.
tldr-skill
Manage conversation summaries (tldrs) in the Obsidian vault. Each tldr captures decisions, key things to remember, and next actions.
Vault root: Determined from the current working directory or the project's CLAUDE.md context. All paths below are relative to the vault root. Always resolve to absolute paths when reading or writing files.
Operations
| Command | Operation | Description |
|---|---|---|
/tldr |
Create | Summarize session → prompt for project → save |
/tldr read {project} |
Read | Show latest tldr for a project |
/tldr update {project} |
Update | Append to or revise existing tldr |
/tldr delete {project} |
Delete | Remove a tldr (with confirmation) |
File Naming
01 - Projects/{project-name}/YYYY-MM-DD-HH-mm-{project-name}-tldr.md
Example: 01 - Projects/vault-setup-skill/2026-03-19-12-03-vault-setup-skill-tldr.md
Create (default operation)
This is the primary operation when /tldr is invoked with no arguments.
Step 1 — Identify Project
Ask the user:
Which project is this for?
Suggest:
{inferred project name from conversation context}
Use the conversation topic to suggest a project name. The user confirms or provides a different name. Kebab-case the name for the filename.
Step 2 — Summarize
Extract from the conversation:
- What was done — concrete actions taken, files changed
- What was decided — design choices, trade-offs, rationale
- Key things to remember — gotchas, patterns, non-obvious details
- Next actions — if any remain
Step 3 — Save
Write to 01 - Projects/{project-name}/YYYY-MM-DD-HH-mm-{project-name}-tldr.md using current time.
If the project subfolder doesn't exist, create it.
Template:
---
created: YYYY-MM-DDTHH:mm
tags:
- project/{project-name}
- tldr
status: complete
---
# YYYY-MM-DD — {Project Name}
## What Was Done
[concrete actions, files changed]
## Decisions
[design choices with rationale]
## Key Things to Remember
[gotchas, patterns, non-obvious details]
## Next Actions
- [ ] [action items, if any]
- None — work is complete
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.
- 8d ago First seen · 166 lines · 47 tokens per session scan A 37299d0e9907
tldr is a skill published in the GitHub repository julianobarbosa/claude-code-skills (10 stars, last pushed 16d ago), licensed MIT. It adds 47 tokens to every session and 1,595 once invoked, about $0.0002 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 2026-09-03.
Other skills, from other repositories
Cortex
Operate Cortex, the LifeOS memory system — the typed Knowledge Archive (People, Companies, Ideas, Research with typed related: links) plus recall of prior work sessions, ISAs, and conversations. Search, add, harvest, develop, ingest, distill, graph-navigate, recall. USE WHEN cortex, knowledge, knowledge base, search…
Migrate
Intakes external content, classifies chunks against LifeOS taxonomy, commits with provenance. Sources: .md/.txt, stdin, LifeOS dirs, CLAUDE.md/Cursor/OpenAI Custom Instructions, Obsidian/Notion/Apple Notes exports. MigrateScan classifies → routing table. MigrateApprove with…
daily-briefing
Proactive daily briefing that fires on a recurring schedule, pulls recent memory and workspace context, composes a structured summary (action items, progress, radar, next steps), and delivers it to all active channels. Enable with a time like "set up my daily briefing at 9am". Disable, reschedule, or check status at…
company-brain
Your team's shared, AI-ready knowledge base — people, companies, meetings, SOPs, and decisions structured so Claude can answer questions on your team's behalf. Team-scope sibling to second-brain (which is personal-scope). Seven modes — capture (drop something into the right structured dir), compile (process into wiki…
email-assistant
Read, search, draft, and send emails via Himalaya CLI or Python IMAP/SMTP. Requires email account configuration.
calendar
Manage calendar events via CalDAV (Google/iCloud/Nextcloud) or local ICS files. View, create, and query events.