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 skills add parcadei/Continuous-Claude-v3 --skill pint-computegit 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/pint-compute)<a href="https://agentmods.dev/skills/parcadei/continuous-claude-v3/pint-compute"><img src="https://agentmods.dev/badge/skills/parcadei/continuous-claude-v3/pint-compute/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/parcadei/continuous-claude-v3/pint-compute"><img src="https://agentmods.dev/badge/skills/parcadei/continuous-claude-v3/pint-compute.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector pass
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 | $0.00019 | $0.00937 |
| Opus 5 | $0.00010 | $0.00468 |
| Sonnet 5 | $0.00004 | $0.00187 |
| Haiku 4.5 | $0.00002 | $0.00094 |
Grade A, and why
pint-compute 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- skill-035 — 92% identical, 6 lines differ
How it starts
The opening of the file, as written. The whole thing — 129 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Unit Computation with Pint
Cognitive prosthetics for unit-aware computation. Use Pint for converting between units, performing unit arithmetic, checking dimensional compatibility, and simplifying compound units.
When to Use
- Converting between units (meters to feet, kg to pounds)
- Unit-aware arithmetic (velocity x time = distance)
- Dimensional analysis (is force = mass x acceleration?)
- Simplifying compound units to base or named units
- Parsing and analyzing quantities with units
Quick Reference
| I want to... | Command | Example |
|---|---|---|
| Convert units | convert |
convert "5 meters" --to feet |
| Unit math | calc |
calc "10 m/s * 5 s" |
| Check dimensions | check |
check newton --against "kg * m / s^2" |
| Parse quantity | parse |
parse "100 km/h" |
| Simplify units | simplify |
simplify "1 kg*m/s^2" |
Commands
parse
Parse a quantity string into magnitude, units, and dimensionality.
uv run python -m runtime.harness scripts/pint_compute.py \
parse "100 km/h"
uv run python -m runtime.harness scripts/pint_compute.py \
parse "9.8 m/s^2"
convert
Convert a quantity to different units.
uv run python -m runtime.harness scripts/pint_compute.py \
convert "5 meters" --to feet
uv run python -m runtime.harness scripts/pint_compute.py \
convert "100 km/h" --to mph
uv run python -m runtime.harness scripts/pint_compute.py \
convert "1 atmosphere" --to pascal
calc
Perform unit-aware arithmetic. Operators must be space-separated.
uv run python -m runtime.harness scripts/pint_compute.py \
calc "5 m * 3 s"
uv run python -m runtime.harness scripts/pint_compute.py \
calc "10 m / 2 s"
uv run python -m runtime.harness scripts/pint_compute.py \
calc "5 meters + 300 cm"
check
Check if two units have compatible dimensions.
uv run python -m runtime.harness scripts/pint_compute.py \
check newton --against "kg * m / s^2"
uv run python -m runtime.harness scripts/pint_compute.py \
check joule --against "kg * m^2 / s^2"
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 · 129 lines · 19 tokens per session scan A 0a5e99d3ae9d
pint-compute is a skill published in the GitHub repository parcadei/Continuous-Claude-v3 (3,936 stars, last pushed 7mo ago), licensed MIT. It adds 19 tokens to every session and 937 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
paper-discover
Use when searching for academic papers related to a topic, finding papers similar to one already in the vault, or discovering research gaps. Triggers on "find papers", "related papers", "paper search", "literature", "what papers should I read about X".
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.
dfam-check
Measure mesh files against Design for Additive Manufacturing (DfAM) rules and report printability findings per process (FDM, SLS, SLA/DLP, metal PBF, MJF). Use when the user asks whether a part is printable, wants overhang/wall-thickness/support analysis of an .stl, .obj, .ply, or .3mf mesh, wants a build-orientation…
tooluniverse-variant-analysis
VCF and variant analysis — parsing, annotation, classification (synonymous, missense, frameshift, stopgained), VAF filtering, coding vs non-coding categorization, multi-condition variant comparison. Use for VCF parsing, variant fraction calculations (denominator = coding subset only, NOT all variants), and per-sample…
tooluniverse-pharmacogenomics
Pharmacogenomics (PGx) research — drug-gene interactions (CPIC, PharmGKB), CPIC dosing guidelines, variant-drug-response associations, ethnic-allele-frequency considerations, and metabolizer-status scoring. Use for PGx-informed dosing recommendations, CYP/HLA pharmacogenomic allele interpretation, and…
tooluniverse-variant-to-mechanism
End-to-end variant-to-mechanism analysis — trace a variant (rsID/coordinates) through regulatory context, target gene(s), molecular pathway(s), and phenotypic consequences. Integrates 7+ databases across 3 evidence layers (regulatory, molecular, disease) for a mechanistic model. Use for GWAS-hit-to-mechanism…