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/aryanduntley/aimfp/initgit clone --depth 1 https://github.com/aryanduntley/aimfpWhat 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 | $0.00009 | $0.00167 |
| Opus 5 | $0.00005 | $0.00084 |
| Sonnet 5 | $0.00002 | $0.00033 |
| Haiku 4.5 | $0.00001 | $0.00017 |
Grade A, and why
init 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 yesterday.
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.
What it actually says
Call the aimfp_init MCP tool with the current working directory as project_root.
This creates the .aimfp-project/ directory containing:
- project.db — project state tracking
- user_preferences.db — AI behavior customization
- ProjectBlueprint.md — project architecture template
- Default infrastructure, tracking settings, and backup configuration
After initialization completes (Phase 1 — mechanical setup), begin Phase 2 — intelligent population:
- Detect the project's language, build tool, and source directory
- Discuss with the user: project name, purpose, goals
- Call create_project() to insert the project row
- Update infrastructure entries and populate ProjectBlueprint.md
- Route to project_discovery for collaborative planning (themes, flows, completion path, milestones)
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.
- yesterday First seen · 19 lines · 9 tokens per session scan A 04817cdac6fd
init is a command published in the GitHub repository aryanduntley/aimfp (0 stars, last pushed 23d ago), licensed MIT. It adds 9 tokens to every session and 167 once invoked, about $0.0000 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 2026-08-31.
Other commands, from other repositories
git
Git operations with intelligent commit messages and workflow optimization.
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.
constitution
Create or update the project constitution from interactive or provided principle inputs.