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 commands/asachs01/float-mcp/analyze-projectgit clone --depth 1 https://github.com/asachs01/float-mcpWhat 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 | $0.00000 | $0.00488 |
| Opus 5 | $0.00000 | $0.00244 |
| Sonnet 5 | $0.00000 | $0.00098 |
| Haiku 4.5 | $0.00000 | $0.00049 |
Grade A, and why
analyze-project 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.
This is a copy
100% identical to analyze-project — 11 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 106 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Advanced project analysis with actionable insights and recommendations.
Arguments: $ARGUMENTS
Comprehensive Project Analysis
Multi-dimensional analysis based on requested focus area.
1. Analysis Modes
Based on $ARGUMENTS:
- "velocity" → Sprint velocity and trends
- "quality" → Code quality metrics
- "risk" → Risk assessment and mitigation
- "dependencies" → Dependency graph analysis
- "team" → Workload and skill distribution
- "architecture" → System design coherence
- Default → Full spectrum analysis
2. Velocity Analytics
📊 Velocity Analysis
━━━━━━━━━━━━━━━━━━━
Current Sprint: 24 points/week ↗️ +20%
Rolling Average: 20 points/week
Efficiency: 85% (17/20 tasks on time)
Bottlenecks Detected:
- Code review delays (avg 4h wait)
- Test environment availability
- Dependency on external team
Recommendations:
1. Implement parallel review process
2. Add staging environment
3. Mock external dependencies
3. Risk Assessment
Technical Risks
- High complexity tasks without backup assignee
- Single points of failure in architecture
- Insufficient test coverage in critical paths
- Technical debt accumulation rate
Project Risks
- Critical path dependencies
- Resource availability gaps
- Deadline feasibility analysis
- Scope creep indicators
4. Dependency Intelligence
Visual dependency analysis:
Critical Path:
#12 → #15 → #23 → #45 → #50 (20 days)
↘ #24 → #46 ↗
Optimization: Parallelize #15 and #24
Time Saved: 3 days
5. Quality Metrics
Code Quality
- Test coverage trends
- Complexity scores
- Technical debt ratio
- Review feedback patterns
Process Quality
- Rework frequency
- Bug introduction rate
- Time to resolution
- Knowledge distribution
6. Predictive Insights
Based on patterns:
- Completion probability by deadline
- Resource needs projection
- Risk materialization likelihood
- Suggested interventions
7. Executive Dashboard
High-level summary with:
- Health score (0-100)
- Top 3 risks
- Top 3 opportunities
- Recommended actions
- Success probability
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 · 106 lines · 0 tokens per session scan A b89e1a6c58a9
analyze-project is a command published in the GitHub repository asachs01/float-mcp (2 stars, last pushed 6mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 488 tokens. A static security scan graded it A with 0 findings. It is 100% identical to analyze-project, differing in 11 lines, and is treated as a copy.
Other commands, from other repositories
pm-init
Initialize local .pm governance; detect Spec Kit; if absent, analyze the repo and draft a PRD for user confirmation; after confirm/skip run a technical light scan.
pm-all
Full technical governance scan; rebuild .pm/dashboard. Default does not wait on draft PRD. Use --compare-baseline only after a confirmed PRD/charter.
pm-done
Close a todo (TODO-xxx), sync completed.md, refresh overview.
pm-export
Export desensitized governance summary markdown for sharing or machine switch.
pm-outline
Generate detailed project outline and draft charter from user intent (empty/new projects).
pm-status
Show governance health, wizard next step, all open blocking/high todos, and pending review count. Primary daily entry.