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/math-helpnpx skills add parcadei/Continuous-Claude-v3 --skill math-helpgit 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/math-help)<a href="https://agentmods.dev/skills/parcadei/continuous-claude-v3/math-help"><img src="https://agentmods.dev/badge/skills/parcadei/continuous-claude-v3/math-help.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 5.1 | $0.00018 | $0.03004 |
| Opus 5 | $0.00009 | $0.01502 |
| Sonnet 5 | $0.00004 | $0.00601 |
| Haiku 4.5 | $0.00002 | $0.00300 |
Grade A, and why
math-help 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 2d 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 — 331 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Math Cognitive Stack Guide
Cognitive prosthetics for exact mathematical computation. This guide helps you choose the right tool for your math task.
Quick Reference
| I want to... | Use this | Example |
|---|---|---|
| Solve equations | sympy_compute.py solve | solve "x**2 - 4 = 0" --var x |
| Integrate/differentiate | sympy_compute.py | integrate "sin(x)" --var x |
| Compute limits | sympy_compute.py limit | limit "sin(x)/x" --var x --to 0 |
| Matrix operations | sympy_compute.py / numpy_compute.py | det "[[1,2],[3,4]]" |
| Verify a reasoning step | math_scratchpad.py verify | verify "x = 2 implies x^2 = 4" |
| Check a proof chain | math_scratchpad.py chain | chain --steps '[...]' |
| Get progressive hints | math_tutor.py hint | hint "Solve x^2 - 4 = 0" --level 2 |
| Generate practice problems | math_tutor.py generate | generate --topic algebra --difficulty 2 |
| Prove a theorem (constraints) | z3_solve.py prove | prove "x + y == y + x" --vars x y |
| Check satisfiability | z3_solve.py sat | sat "x > 0, x < 10, x*x == 49" |
| Optimize with constraints | z3_solve.py optimize | optimize "x + y" --constraints "..." |
| Plot 2D/3D functions | math_plot.py | plot2d "sin(x)" --range -10 10 |
| Arbitrary precision | mpmath_compute.py | pi --dps 100 |
| Numerical optimization | scipy_compute.py | minimize "x**2 + 2*x" "5" |
| Formal machine proof | Lean 4 (lean4 skill) | /lean4 |
The Five Layers
Layer 1: SymPy (Symbolic Algebra)
When: Exact algebraic computation - solving, calculus, simplification, matrix algebra.
Key Commands:
# Solve equation
uv run python -m runtime.harness scripts/sympy_compute.py \
solve "x**2 - 5*x + 6 = 0" --var x --domain real
# Integrate
uv run python -m runtime.harness scripts/sympy_compute.py \
integrate "sin(x)" --var x
# Definite integral
uv run python -m runtime.harness scripts/sympy_compute.py \
integrate "x**2" --var x --bounds 0 1
# Differentiate (2nd order)
uv run python -m runtime.harness scripts/sympy_compute.py \
diff "x**3" --var x --order 2
# Simplify (trig strategy)
uv run python -m runtime.harness scripts/sympy_compute.py \
simplify "sin(x)**2 + cos(x)**2" --strategy trig
# Limit
uv run python -m runtime.harness scripts/sympy_compute.py \
limit "sin(x)/x" --var x --to 0
# Matrix eigenvalues
uv run python -m runtime.harness scripts/sympy_compute.py \
eigenvalues "[[1,2],[3,4]]"
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.
- 2d ago First seen · 331 lines · 18 tokens per session scan A a9462ba5d418
math-help is a skill published in the GitHub repository parcadei/Continuous-Claude-v3 (3,936 stars, last pushed 7mo ago), licensed MIT. It adds 18 tokens to every session and 3,004 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 2026-09-03.
Other skills, from other repositories
course
Process an online course into detailed vault notes — one per lecture, with slides and transcripts synthesized. Use this skill whenever the user shares a course URL, syllabus page, or lecture playlist and wants structured notes from it. Also triggers on "process this course", "take notes on these lectures", "course…
process
CORE learning workflow — use this whenever the user has a source note open (paper, post, book, lecture, course, clipping) and wants to extract knowledge, understand what they just read, or build it into their vault. Triggers on "process this note", "process this paper", "extract concepts", "what can I learn from…
recall
Spaced repetition and retrieval practice engine for the vault. Use when the user wants a review session, recall practice, to test what they remember, or to resurface notes. Triggers on "review session", "what should I review", "recall practice", "resurface notes", "spaced repetition", "quiz me", "what do I know…
book-analyzer
Analyze a book (EPUB/PDF) and generate detailed chapter-by-chapter notes with extracted key concepts. Use when given a book file path to process.
fizzy-workflow
Use for guided Fizzy.do workflows: "set up Fizzy", "configure Fizzy for this project", "sync my work to Fizzy", "review my Fizzy progress", "end of session cleanup". Provides step-by-step guidance for common operations.
self-learning
Autonomously research any technology, library, framework, or API. Discovers official documentation, extracts key information from authoritative sources, verifies across multiple pages, and generates a reusable Claude skill (SKILL.md) with installation, examples, and best practices.