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-modegit 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-mode)<a href="https://agentmods.dev/skills/immamdouhaboammar/get-fable/fable-mode"><img src="https://agentmods.dev/badge/skills/immamdouhaboammar/get-fable/fable-mode/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-mode"><img src="https://agentmods.dev/badge/skills/immamdouhaboammar/get-fable/fable-mode.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 | $0.00036 | $0.00350 |
| Opus 5 | $0.00018 | $0.00175 |
| Sonnet 5 | $0.00007 | $0.00070 |
| Haiku 4.5 | $0.00004 | $0.00035 |
Grade A, and why
fable-mode 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 5d 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
fable-mode compatibility adapter
fable-mode is a legacy entry name. New behavior belongs to the canonical get-fable skill pack and skills/get-fable/registry.json.
When the canonical pack is reachable, route there instead of maintaining a second workflow here.
If the host cannot invoke canonical skills directly, preserve these invariants inline:
- route by missing evidence or decision
- resolve repository unknowns and current external facts before they influence architecture
- use bounded plans for broad work and red-green checks for testable behavior changes
- delegate only disjoint work with explicit ownership and acceptance
- treat review, security, release, handoff, evaluation, and recovery as distinct jobs
- advance mutation state after workspace changes
- require fresh current-generation completion evidence after the final mutation
- change the diagnosis before another repair after repeated failure
Evidence types stay narrow: research supports decisions, receipts support execution provenance, handoffs support continuity, and none of them substitutes for behavior verification.
This workflow changes process around a model. It does not change model weights, reproduce a proprietary model, expose hidden reasoning, or guarantee equivalent capability.
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.
- 5d ago First seen · 36 lines · 36 tokens per session scan A 43f74bbe4313
fable-mode is a skill published in the GitHub repository imMamdouhaboammar/get-fable (4 stars, last pushed today), licensed MIT. It adds 36 tokens to every session and 350 once invoked, about $0.0002 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
tdd
Test-driven development with red-green-refactor loop. Use when user wants to build features or fix bugs using TDD, mentions "red-green-refactor", wants integration tests, or asks for test-first development.
workflow-patterns
Use this skill when implementing tasks according to Conductor's TDD workflow, handling phase checkpoints, managing git commits for tasks, or understanding the verification protocol.
engineering-workflow
A Chinese-language workflow for reliable software development. It describes exploring the problem, making a plan, using TDD (test-driven development, where tests are written before the code), debugging methodically, reviewing code, and verifying the result.
implement
Implement a technical design by decomposing it into dependency-ordered vertical slices, executing each with TDD red-green, reviewing each via an isolated sub-agent, and persisting progress to a state file so work survives session restarts. Use when the user has a tech design (doc or settled conversation) and says…
principle-test-behavior-not-implementation
Apply when you write, change, or keep a test. Call the code the way its users do and assert the result they observe against a literal expected value. If the test would still pass when every imported function returns undefined, rewrite the assertion or delete the test.
test-driven-development
TDD: enforce RED-GREEN-REFACTOR, tests before code.