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 kpab/claude-fable-5-skills --skill markdown-memorygit clone --depth 1 https://github.com/kpab/claude-fable-5-skillsWrote 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/kpab/claude-fable-5-skills/markdown-memory)<a href="https://agentmods.dev/skills/kpab/claude-fable-5-skills/markdown-memory"><img src="https://agentmods.dev/badge/skills/kpab/claude-fable-5-skills/markdown-memory/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/kpab/claude-fable-5-skills/markdown-memory"><img src="https://agentmods.dev/badge/skills/kpab/claude-fable-5-skills/markdown-memory.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 | $0.00077 | $0.00392 |
| Opus 5 | $0.00039 | $0.00196 |
| Sonnet 5 | $0.00015 | $0.00078 |
| Haiku 4.5 | $0.00008 | $0.00039 |
Grade A, and why
markdown-memory 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 6d 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
Markdown Memory
Fable 5 is unusually good at exploiting written records of its own past mistakes and confirmed approaches. A directory of Markdown files is enough — no database required. What matters is the maintenance discipline, because a memory full of stale or duplicate notes is worse than none.
Layout
memory/
lessons/
one-lesson-per-file.md
INDEX.md # one line per lesson, regenerated when lessons change
Lesson file format
- Line 1: a one-sentence summary that makes sense without opening the file.
- Body: what happened, what the correct approach is, and why it mattered — the why is what generalizes.
- Record both corrections (things that went wrong) and confirmations (approaches validated under pressure).
Maintenance rules
- One lesson per file. If a new event refines an existing lesson, update that file; never create a near-duplicate.
- Don't record what the repo, docs, or chat history already state — memory is for what's not written down elsewhere.
- Delete lessons proven wrong. A confidently wrong note does more damage than a missing one.
- Read INDEX.md at session start; open full lesson files only when relevant.
Bootstrapping from history
To seed memory for an existing project, review past sessions (delegating chunks to subagents if history is large), extract recurring themes and corrections, and write them as lesson files in the format above. Then make reading INDEX.md part of the standing instructions.
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.
- 6d ago Changed · +5 tokens per session fb30f99bcda2
- 11d ago First seen · 35 lines · 72 tokens per session scan A 777906554143
markdown-memory is a skill published in the GitHub repository kpab/claude-fable-5-skills (17 stars, last pushed 8d ago), licensed MIT. It adds 77 tokens to every session and 392 once invoked, about $0.0004 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 2026-08-30.
Other skills, from other repositories
agent-memory-mcp
A hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions).
agent-memory
A hybrid memory system that provides persistent, searchable knowledge management for AI agents.
accint-frames
Drain acc's deliberation queue — open/waiting brainframes checkpointed by headless runs — via accact(runtime="continue").
agent-memory-systems
Memory is the cornerstone of intelligent agents. Without it, every interaction starts from zero. This skill covers the architecture of agent memory: short-term (context window), long-term (vector stores), and the cognitive architectures that organize them.
accint-solve
Route a goal through acc's scored-memory loop via accact(runtime="solve"); deliberate any returned brainframe and submit via continue.
enhance-claude-memory
Use when improving CLAUDE.md or AGENTS.md project memory files.