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 hyxnj666-creator/ai-memory --skill ai-memory-decision-loggit clone --depth 1 https://github.com/hyxnj666-creator/ai-memoryWrote 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/hyxnj666-creator/ai-memory/ai-memory-decision-log)<a href="https://agentmods.dev/skills/hyxnj666-creator/ai-memory/ai-memory-decision-log"><img src="https://agentmods.dev/badge/skills/hyxnj666-creator/ai-memory/ai-memory-decision-log/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/hyxnj666-creator/ai-memory/ai-memory-decision-log"><img src="https://agentmods.dev/badge/skills/hyxnj666-creator/ai-memory/ai-memory-decision-log.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00056 | $0.00296 |
| Opus 5.5 | $0.00022 | $0.00118 |
| Sonnet 5.5 | $0.00011 | $0.00059 |
| Haiku 4.5 | $0.00006 | $0.00030 |
Grade A, and why
ai-memory-decision-log 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 1mo 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.
What it actually says
Technical Decision Log
Auto-generated by ai-memory from AI chat history. Edit memories via
ai-memory list/extract/resolverather than this file — it is fully regenerated on everyai-memory rules --target skills.
Adopt OAuth 2.0 authorization code flow with PKCE for the customer portal SPA
Switch the SPA to OAuth 2.0 authorization code flow with PKCE (Proof Key for Code Exchange). Retire the implicit-flow client config. Require HTTPS-only redirect URIs. Migration is gated behind a feature flag; deprecate the old client_id by end of quarter.
Why: PKCE keeps the access token off the URL (auth code is the only thing exchanged via the front channel), and our existing oauth4webapi library supports PKCE out of the box. The migration is a few lines per auth provider plus an extra round-trip on first login — acceptable for the security gain.
Rejected: Stay on implicit flow ("works today") rejected: deprecated since 2019, security review will not sign off. Custom auth backend rejected: high cost, no incremental benefit over PKCE.
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.
- 1mo ago First seen · 17 lines · 56 tokens per session scan A df72bf76de92
ai-memory-decision-log is a skill published in the GitHub repository hyxnj666-creator/ai-memory (44 stars, last pushed 5mo ago), licensed MIT. It adds 56 tokens to every session and 296 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-08-30.
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