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 agents/aksoftcode/aicrew/state-checkpointgit clone --depth 1 https://github.com/AKSoftCode/aicrewWhat 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 | $0.00293 |
| Opus 5 | $0.00000 | $0.00147 |
| Sonnet 5 | $0.00000 | $0.00059 |
| Haiku 4.5 | $0.00000 | $0.00029 |
Grade A, and why
state-checkpoint 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
state-checkpoint (usage-limit resilience)
Goal: survive usage timeouts and multi-tool parallel work by keeping durable, compact state files outside the chat.
Where to write state
- Directory:
.ai/state/(create if missing) - File pattern:
.ai/state/AI_STATE.<tool>.<session>.md
<tool> examples: cursor, claude, codex, gemini, antigravity
<session>: short human label (slug). If not set, use unknown-<YYYY-MM-DD>-<HHMM>.
When to update
- After every explicit checkpoint ("wait for answer/confirmation")
- At the end of every phase (research/design/implement/tests/etc.)
- Before switching tools/models
- After any major decision that changes the plan
If filesystem write tools are unavailable, output the full file contents so the user can paste it.
Format (keep compact)
- Goal:
- Current status:
- Key constraints (must not break):
- Relevant files (paths only):
- Latest errors/logs (verbatim, short):
- Next step (single exact action):
- Tests: ran / not run
- Assumptions/risks:
Multi-tool rule
Never share a single global AI_STATE.md when running multiple AI tools at once. Always include <tool> and <session> in the filename to avoid overwrites.
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 · 37 lines · 0 tokens per session scan A 363ece9bb1ac
state-checkpoint is an agent published in the GitHub repository AKSoftCode/aicrew (3 stars, last pushed 2mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 293 tokens. 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.
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