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 imMamdouhaboammar/get-fable --skill fable-memorygit clone --depth 1 https://github.com/imMamdouhaboammar/get-fableWrote 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/immamdouhaboammar/get-fable/fable-memory)<a href="https://agentmods.dev/skills/immamdouhaboammar/get-fable/fable-memory"><img src="https://agentmods.dev/badge/skills/immamdouhaboammar/get-fable/fable-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/immamdouhaboammar/get-fable/fable-memory"><img src="https://agentmods.dev/badge/skills/immamdouhaboammar/get-fable/fable-memory.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 | $0.00104 | $0.01499 |
| Opus 5 | $0.00052 | $0.00749 |
| Sonnet 5 | $0.00021 | $0.00300 |
| Haiku 4.5 | $0.00010 | $0.00150 |
Grade A, and why
fable-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 4d 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.
Fable Memory
Persist only facts that deserve to survive the session, with provenance and contradiction handling strong enough that old memory does not silently become a new source of error.
Mission
Memory is not a chat archive. It should reduce rediscovery without freezing temporary guesses into permanent instructions.
A durable record needs scope, provenance, confidence, freshness, and a way to be superseded when the user or repository changes.
Activate When
- the user explicitly asks to remember a durable preference/constraint;
- a stable project convention or architectural decision will materially affect future work;
- cross-session continuity repeatedly depends on the same fact;
- a prior durable fact needs correction, supersession, or retrieval.
Do Not Activate When
- the information is temporary execution state (
.fable/state, ledger, handoff); - it is a one-off conversational detail unlikely to affect future decisions;
- it is a guess/inference not yet stable enough to persist;
- it contains a password, token, private key, session cookie, or other secret.
Memory Classification
| Type | Example | Durability rule |
|---|---|---|
| User preference | preferred package manager | persist when explicit/stable |
| Project constraint | runtime Bun >=1.3 | bind to project/source |
| Architecture decision | use outbox for events | store rationale + supersession path |
| Repeated workflow rule | verify package clean-install before release | persist if project-specific and durable |
| External fact | API behavior/version | usually cite/research at use time; avoid timeless storage |
| Temporary state | current failing test | handoff/state, not memory |
| Sensitive credential | API token | never memory |
Protocol
Stage 1 — Decide whether it deserves memory
Ask:
- will this likely matter in another session?
- is it stable, explicit, or source-backed?
- is there a narrower existing record to update?
- could persistence create privacy/security risk?
What ships with it
7 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 4d ago First seen · 176 lines · 104 tokens per session scan A 53a58b7e4762
fable-memory is a skill published in the GitHub repository imMamdouhaboammar/get-fable (3 stars, last pushed 4d ago), licensed MIT. It adds 104 tokens to every session and 1,499 once invoked, about $0.0005 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 2026-09-05.
Other skills, from other repositories
memory
Use when sharpening a perception or observation you ALREADY formed about conversation state, user behavior, drift, emotional shifts, or cross-turn patterns. Trigger phrases include "what did you notice about X", "the user keeps doing Y", "I sense something has changed", "is the user X-ing", "what does this pattern…
hive.note-taking
Maintain a free-form scratchpad of decisions, extracted values, and open questions so context pruning doesn't lose anything you still need.
skill-creator
Create, edit, improve, tidy, review, audit, or restructure memmy-agent skills and SKILL.md files.
ha-knowledge
Working method for the Hope Agent knowledge space — how to capture, organize, link, retrieve, and maintain Markdown notes well with the note tools. Load whenever you are reading or writing notes in an attached knowledge base. Trigger on: user asks to take / save / organize / restructure notes, build or grow a…
todos
This chat has a shared, live TODO plan — your tasks for the conversation, which the user also edits. Read this skill and reach for the todo tools whenever a request takes more than a couple of steps. It covers the plan model (group = task, items = its steps; loose items are the user's lane), how to work it: propose…
reviewing-changes
Use when a review package asks you to review a plan step's change set (todo.startReview): you are the REVIEWER, not the author. How to judge an agent-written diff, file findings with addreviewcomment, and settle with exactly one reviewverdict.