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 analytic-functionsgit 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/analytic-functions)<a href="https://agentmods.dev/skills/parcadei/continuous-claude-v3/analytic-functions"><img src="https://agentmods.dev/badge/skills/parcadei/continuous-claude-v3/analytic-functions.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to medium
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 →
- medium analysis-evasion · line 1 Suspicious Unicode normalization or mixed-script contentFix: Review the flagged content for security risks. Ensure no credentials, secrets, or sensitive data are exposed.
- medium Agent Snooping · line 72 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
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 | $0.00012 | $0.00981 |
| Opus 5 | $0.00006 | $0.00491 |
| Sonnet 5 | $0.00002 | $0.00196 |
| Haiku 4.5 | $0.00001 | $0.00098 |
Grade A, and why
analytic-functions 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 4d 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 — 73 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Analytic Functions
When to Use
Use this skill when working on analytic-functions problems in complex analysis.
Decision Tree
-
Is f analytic at z0?
- Check Cauchy-Riemann equations: du/dx = dv/dy, du/dy = -dv/dx
- Check if f has power series expansion around z0
- Check if f is differentiable in neighborhood of z0
sympy_compute.py diff "u" --var xandsympy_compute.py diff "v" --var y
-
Cauchy-Riemann Verification
- Write f(z) = u(x,y) + iv(x,y)
- Compute partial derivatives
- Verify: du/dx = dv/dy AND du/dy = -dv/dx
z3_solve.py prove "cauchy_riemann"
-
Power Series
- f(z) = sum_{n=0}^{inf} a_n (z - z0)^n
- Radius of convergence: R = 1/limsup |a_n|^(1/n)
sympy_compute.py series "f(z)" --var z --at z0
-
Analytic Continuation
- Extend f beyond original domain via power series
- Identity theorem: if f = g on set with limit point, then f = g everywhere
Tool Commands
Sympy_Diff_U
uv run python -m runtime.harness scripts/sympy_compute.py diff "u(x,y)" --var x
Sympy_Diff_V
uv run python -m runtime.harness scripts/sympy_compute.py diff "v(x,y)" --var y
Sympy_Series
uv run python -m runtime.harness scripts/sympy_compute.py series "exp(z)" --var z --at 0
Z3_Cauchy_Riemann
uv run python -m runtime.harness scripts/z3_solve.py prove "diff(u,x) == diff(v,y)"
Key Techniques
From indexed textbooks:
- [Complex Analysis (Elias M. Stein, Ram... (Z-Library)] A deep theorem which we prove in the next chapter says that the converse is true: every holomorphic function is analytic. For that reason, we use the terms holomorphic and analytic interchangeably. PRELIMINARIES TO COMPLEX ANALYSIS Corollary 2.
- [Complex Analysis (Elias M. Stein, Ram... (Z-Library)] Cauchy, 1826 There is a general principle in the theory, already implicit in Riemann’s work, which states that analytic functions are in an essential way charac- terized by their singularities. That is to say, globally analytic functions are “eectively” determined by their zeros, and meromorphic functions by their zeros and poles. While these assertions cannot be formulated as precise general theorems, there are nevertheless signicant instances where this principle applies.
- [Complex analysis an introduction to... (Z-Library)] EXERCISES If f(z) is analytic in the whole plane and real on the real axis, purely imaginary on the imaginary axis, show that f{z) is odd. COMPLEX INTEGRATION In the same situation, if v is the imaginary part of an analytic function f(z) in 12+, then f(z) has an analytic extension which satisfies f(z) = f(z). For the proof we construct the function V(z) which is equal to v(z) respect to this disk formed with the boundary values V.
- [Complex analysis an introduction to... (Z-Library)] E is compact it can be covered by a finite number of the smaller disks, and we find that the p(/nJ are bounded on E, contrary to assumption. EXERCISES Prove that in any region 0 the family of analytic functions with positive real part is normal. Under what added condition is it locally bounded?
- [Complex Analysis (Elias M. Stein, Ram... (Z-Library)] Notice that the radius of convergence of the above series is 1. Show that f cannot be continued analytically past the unit disc. Hint: Suppose θ = 2πp/2k, where p and k are positive integers.
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.
- 4d ago First seen · 73 lines · 12 tokens per session scan A 2ae5c4f82daa
analytic-functions is a skill published in the GitHub repository parcadei/Continuous-Claude-v3 (3,937 stars, last pushed 7mo ago), licensed MIT. It adds 12 tokens to every session and 981 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.
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