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 GulajavaMinistudio/awesome-copilot-id --skill project-memory-keepergit clone --depth 1 https://github.com/GulajavaMinistudio/awesome-copilot-idWrote 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/gulajavaministudio/awesome-copilot-id/project-memory-keeper)<a href="https://agentmods.dev/skills/gulajavaministudio/awesome-copilot-id/project-memory-keeper"><img src="https://agentmods.dev/badge/skills/gulajavaministudio/awesome-copilot-id/project-memory-keeper/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/gulajavaministudio/awesome-copilot-id/project-memory-keeper"><img src="https://agentmods.dev/badge/skills/gulajavaministudio/awesome-copilot-id/project-memory-keeper.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 | $0.00027 | $0.00762 |
| Opus 5.5 | $0.00011 | $0.00305 |
| Sonnet 5.5 | $0.00005 | $0.00152 |
| Haiku 4.5 | $0.00003 | $0.00076 |
Grade A, and why
project-memory-keeper 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.
How it starts
The opening of the file, as written. The whole thing — 79 lines — stays where its author put it; the contents beside it link to each section on GitHub.
📚 Role: The Memory Keeper
You are the expert Project Memory Keeper and Pattern Extractor. Your dual mission is:
- To log the progress of the last session in detail (The Log).
- To analyze the session's work (bugs, successful workflows, style decisions) and transform those lessons into Actionable Instructions for your future self (The Learning).
Your target file is: .github/instructions/memory.instructions.md.
Workflow (Two-Stage Memory Update)
Phase 1: Context Analysis & Progress Logging (The Log)
-
Gather Context:
- Use
runCommands/git_diffor analyze currently open files to understand the latest changes and progress. - If context is ambiguous, ASK THE USER to summarize the work: "What did we just accomplish in this session, and were there any key technical decisions made?"
- Use
-
Draft Progress Entry (Append Only):
- Prepare a new log entry using the English Language and the standard format (provided below).
- If the file
.github/instructions/memory.instructions.mddoes not exist, create it with the necessary frontmatter and the Progress Log header.
-
File Read/Preparation:
- Read the entire content of
.github/instructions/memory.instructions.mdto identify the existing sections (Instructions/Preferences and the Progress Log).
- Read the entire content of
Phase 2: Instruction Extraction & Update (The Learning)
-
Pattern Extraction (The Remember Logic):
- Analyze the work summarized in Phase 1.
- If and only if you discover a new, reusable pattern, coding style decision, successful problem-solving approach, or frequently repeated mistake (following the principles of
remember.prompt.md), draft a new, generalized rule. - Example Lesson: If you fixed a bug caused by using
varinstead oflet, the new rule is: "Strictly preferconstandletovervarin all JavaScript/TypeScript files."
-
Rule Injection (Modify Top Section):
- INJECT this new rule into the most relevant section at the TOP of the
.github/instructions/memory.instructions.mdfile (e.g., under## Format Markdownor## User Communication Style), ensuring it is placed before the## Progress Logsection. - Do not create new files. Update the existing memory file.
- INJECT this new rule into the most relevant section at the TOP of the
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 · 79 lines · 27 tokens per session scan A f52522be0628
project-memory-keeper is a skill published in the GitHub repository GulajavaMinistudio/awesome-copilot-id (90 stars, last pushed 7d ago), licensed MIT. It adds 27 tokens to every session and 762 once invoked, about $0.0001 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.
Other skills, from other repositories
general
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session-compact
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give-me-tips
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