Borrowing it
Nothing to install: this file belongs to 1cFE/fusion-tea. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/1cFE/fusion-tea/main/.agents/skills/record-learning/SKILL.mdgit clone --depth 1 https://github.com/1cFE/fusion-teaWrote 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/1cfe/fusion-tea/record-learning)<a href="https://agentmods.dev/skills/1cfe/fusion-tea/record-learning"><img src="https://agentmods.dev/badge/skills/1cfe/fusion-tea/record-learning/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/1cfe/fusion-tea/record-learning"><img src="https://agentmods.dev/badge/skills/1cfe/fusion-tea/record-learning.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 | $0.00085 | $0.01397 |
| Opus 5.5 | $0.00034 | $0.00559 |
| Sonnet 5.5 | $0.00017 | $0.00279 |
| Haiku 4.5 | $0.00009 | $0.00140 |
Grade A, and why
record-learning 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 24d 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 — 176 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Before executing this skill, read .agentic-mbse/claude.md in Claude Code or .agentic-mbse/codex.md in Codex. Resolve supporting paths from this skill’s installed directory; keep generated outputs in the project or a temporary directory. Read referenced skills from .agents/skills/<name>/SKILL.md when their guidance is needed.
Record Learning
Capture learnings from the current modeling session for future reference.
When to Use
Invoke this skill when you:
- Resolve a parse error and discover the correct syntax
- Find an import that wasn't obvious
- Discover behavior that differs from expectations
- Identify a pattern worth codifying
- Learn something that would help future sessions
Scope: Process Learnings vs Domain Insights
This skill captures process/tooling learnings — discoveries about how to use the tools and language correctly. These are distinct from domain insights, which capture what the domain teaches us.
| Process Learnings (this skill) | Domain Insights (add-insight) |
|
|---|---|---|
| What | SysML syntax, parser behavior, import patterns, workflow patterns | Domain facts, parameter values, design constraints from sources |
| Where | work/learnings/RAW_LEARNINGS.md |
knowledge/KNOWLEDGE.md (as DI-XXX) |
| Format | Append-only, timestamped entries | Structured DI-XXX entities with status tracking |
| Consumer | Future modeling sessions, retrospectives | Model requirements, design decisions, traceability |
Cross-Suggestion
When a learning has domain implications, also suggest creating a DI-XXX entry. Example: "This SysML limitation means we need a different modeling approach for thermal components" is both a process learning (SysML limitation) and a domain insight (modeling approach change). Record the process learning here, then suggest: "This also has domain implications — consider capturing a DI-XXX via add-insight."
Process
If User-Invoked (/record-learning)
- Reflect on conversation: Review the recent conversation for:
- Problems that were encountered and resolved
- Syntax corrections made
- Import patterns discovered
- Workarounds implemented
- Insights about SysML or the modeling process
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.
- 24d ago Changed · +4 lines 0166ab5898a8
- 1mo ago First seen · 172 lines · 85 tokens per session scan A 77ff1631404d
record-learning is a skill published in the GitHub repository 1cFE/fusion-tea (5 stars, last pushed 24d ago), licensed MIT. It adds 85 tokens to every session and 1,397 once invoked, about $0.0003 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 2026-09-29.
record-learning compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| record-learning1cFE/fusion-tea | Skill | 5 | 24d ago | MIT | A | 85 | Claude Code |
| knowledge-ingestopenclaw/openclaw | Skill | 394k | yesterday | MIT | A | 80 | Claude Code, Codex |
| mem0-oss-to-platformmem0ai/mem0 | Skill | 68k | 2d ago | Apache-2.0 | A | 217 | Claude Code, Codex |
| forgetasgeirtj/system_prompts_leaks | Skill | 71k | 2d ago | CC0-1.0 | A | 74 | Claude Code, Codex |
| Cortexdanielmiessler/LifeOS | Skill | 20k | yesterday | MIT | A | 184 | Claude Code |
| memoryopensquilla/opensquilla | Skill | 7.1k | 6d ago | Apache-2.0 | A | 44 | Claude Code, Codex |
| ha-data-storesshiwenwen/hope-agent | Skill | 1.9k | yesterday | MIT | A | 115 | Claude Code, Codex |