Continuous-Claude-v3 is a Claude Code development environment that preserves working context between sessions, coordinates specialized agents, and stores project knowledge through ledgers, handoffs, and analysis tools. It is for people using Claude Code on ongoing or complex software work. Its catalogue entries are the skills, agents, hooks, plugin, and setting that provide its workflows and orchestration.
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/parcadei/continuous-claude-v3/tldr-codenpx skills add parcadei/Continuous-Claude-v3 --skill tldr-codegit clone --depth 1 https://github.com/parcadei/Continuous-Claude-v3Wrote 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/parcadei/continuous-claude-v3/tldr-code)<a href="https://agentmods.dev/skills/parcadei/continuous-claude-v3/tldr-code"><img src="https://agentmods.dev/badge/skills/parcadei/continuous-claude-v3/tldr-code.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 | $0.00033 | $0.02860 |
| Opus 5 | $0.00016 | $0.01430 |
| Sonnet 5 | $0.00007 | $0.00572 |
| Haiku 4.5 | $0.00003 | $0.00286 |
Grade A, and why
tldr-code 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 yesterday.
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 — 410 lines — stays where its author put it; the contents beside it link to each section on GitHub.
TLDR-Code: Complete Reference
Token-efficient code analysis. 95% savings vs raw file reads.
Quick Reference
| Task | Command |
|---|---|
| File tree | tldr tree src/ |
| Code structure | tldr structure . --lang python |
| Search code | tldr search "pattern" . |
| Call graph | tldr calls src/ |
| Who calls X? | tldr impact func_name . |
| Control flow | tldr cfg file.py func |
| Data flow | tldr dfg file.py func |
| Program slice | tldr slice file.py func 42 |
| Dead code | tldr dead src/ |
| Architecture | tldr arch src/ |
| Imports | tldr imports file.py |
| Who imports X? | tldr importers module_name . |
| Affected tests | tldr change-impact --git |
| Type check | tldr diagnostics file.py |
| Semantic search | tldr semantic search "auth flow" |
The 5-Layer Stack
Layer 1: AST ~500 tokens Function signatures, imports
Layer 2: Call Graph +440 tokens What calls what (cross-file)
Layer 3: CFG +110 tokens Complexity, branches, loops
Layer 4: DFG +130 tokens Variable definitions/uses
Layer 5: PDG +150 tokens Dependencies, slicing
───────────────────────────────────────────────────────────────
Total: ~1,200 tokens vs 23,000 raw = 95% savings
CLI Commands
Navigation
# File tree
tldr tree [path]
tldr tree src/ --ext .py .ts # Filter extensions
tldr tree . --show-hidden # Include hidden files
# Code structure (codemaps)
tldr structure [path] --lang python
tldr structure src/ --max 100 # Max files to analyze
Search
# Text search
tldr search <pattern> [path]
tldr search "def process" src/
tldr search "class.*Error" . --ext .py
tldr search "TODO" . -C 3 # 3 lines context
tldr search "func" . --max 50 # Limit results
# Semantic search (natural language)
tldr semantic search "authentication flow"
tldr semantic search "error handling" --k 10
tldr semantic search "database queries" --expand # Include call graph
What ships with it
1 file 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.
- yesterday First seen · 410 lines · 33 tokens per session scan A 06b1f485d4e9
tldr-code is a skill published in the GitHub repository parcadei/Continuous-Claude-v3 (3,936 stars, last pushed 7mo ago), licensed MIT. It adds 33 tokens to every session and 2,860 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.
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