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 math-progress-monitorgit 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-progress-monitor)<a href="https://agentmods.dev/skills/parcadei/continuous-claude-v3/math-progress-monitor"><img src="https://agentmods.dev/badge/skills/parcadei/continuous-claude-v3/math-progress-monitor/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/math-progress-monitor"><img src="https://agentmods.dev/badge/skills/parcadei/continuous-claude-v3/math-progress-monitor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- 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 | $0.00890 |
| Opus 5 | $0.00010 | $0.00445 |
| Sonnet 5 | $0.00004 | $0.00178 |
| Haiku 4.5 | $0.00002 | $0.00089 |
Grade A, and why
math-progress-monitor 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 9d 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 — 152 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Math Progress Monitor
When to Use
Trigger on phrases like:
- "am I on the right track"
- "is this approach working"
- "I'm stuck"
- "should I try something else"
- "verify my progress"
- "check my reasoning"
- "is this getting too complicated"
Use mid-work to assess whether to continue, pivot, or decompose (Schoenfeld's metacognitive control).
Process
Run a structured progress assessment:
1. Inventory attempts
Ask: "What have you tried so far?"
- List each approach
- Order by when attempted
- Note time spent
2. Extract learnings
Ask: "What did each attempt tell you?"
- Even failures provide information
- What was ruled out?
- What patterns emerged?
3. Complexity check
Ask: "Is complexity growing faster than expected?"
- Warning signs:
- More terms than you started with
- New variables appearing
- Calculation getting messier
- Normal: complexity stays flat or decreases
4. Spot-check verification
Ask: "Can you verify any intermediate results?"
- Run numerical examples
- Check limiting cases
- Dimensional analysis
5. Decomposition check
Ask: "Is there a simpler sub-problem to solve first?"
- Identify dependencies
- Find stepping stones
- Reduce scope
6. Sunk cost assessment
Ask: "What would abandoning this approach cost?"
- Time already spent (irrelevant)
- Insights that transfer (relevant)
- Probability of success if continue
Key Questions to Ask
- What have you tried? (inventory)
- What did you learn? (extract)
- Is it getting simpler or harder? (complexity)
- Can you check a piece? (verify)
- What's the smallest step? (decompose)
- Should you pivot? (decide)
Output Format
Progress Assessment:
Status: [On track / Hitting resistance / Should pivot]
Attempts Summary:
1. [Approach] -> [Outcome/Learning]
2. [Approach] -> [Outcome/Learning]
Complexity Check:
- Expected: [what should this look like]
- Actual: [what it actually looks like]
- Verdict: [Normal / Warning / Abandon]
Verification Points:
- [Intermediate result to check]
- [Numerical test case]
Recommendation:
[Continue / Modify approach / Switch strategy / Decompose / Get more info]
If Pivoting:
- Alternative: [specific new approach]
- Why it might work: [reasoning]
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.
- 9d ago First seen · 152 lines · 19 tokens per session scan A 4227f205ca4e
math-progress-monitor is a skill published in the GitHub repository parcadei/Continuous-Claude-v3 (3,938 stars, last pushed 7mo ago), licensed MIT. It adds 19 tokens to every session and 890 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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