fablize

fablize is a skill for Claude Code, Codex from teixeirazeus/fablize-for-hermes. It costs 79 tokens per session (1,636 once invoked), scanned A, original, MIT.

A workflow that makes an AI coding agent investigate tasks, split them into parts, verify results, and finish with evidence. It treats checking work as a required procedure.

In plain words
What is it for?
Use it when a coding task needs investigation, multiple related pieces, observable outputs, and verification before reporting completion.
Why use it?
It reduces unfinished tasks and unsupported claims that work is complete.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Install

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.

agentmods
npx agentmods add skills/teixeirazeus/fablize-for-hermes/fablize
Any agent
npx skills add teixeirazeus/fablize-for-hermes --skill fablize
Clone the repo
git clone --depth 1 https://github.com/teixeirazeus/fablize-for-hermes

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for fablize

README.md
[![agentmods](https://agentmods.dev/badge/skills/teixeirazeus/fablize-for-hermes/fablize.svg)](https://agentmods.dev/skills/teixeirazeus/fablize-for-hermes/fablize)
Your own site
<a href="https://agentmods.dev/skills/teixeirazeus/fablize-for-hermes/fablize"><img src="https://agentmods.dev/badge/skills/teixeirazeus/fablize-for-hermes/fablize.svg" alt="Measured on agentmods" height="20"></a>
Per session 79 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,636 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00079 $0.01636
Opus 5 $0.00039 $0.00818
Sonnet 5 $0.00016 $0.00327
Haiku 4.5 $0.00008 $0.00164

Measured 6d ago against content hash 4cb6aed1d818, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

fablize 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.

skills/fablize/SKILL.md · 144 lines

How it starts

The opening of the file, as written. The whole thing — 144 lines — stays where its author put it; the contents beside it link to each section on GitHub.

fablize — run like Fable

Principle: a harness cannot raise a model's ceiling. It makes the model go all the way to its own ceiling — by enforcing verification, completion, and investigation as procedure. When the capability ceiling is the blocker (open-ended creative detail, self-driven discovery), escalate.

Apply only what the task signals (smallest matching discipline; overlap only when genuinely multi-category).

Foundation rules (always apply)

  • Lead with the outcome. State what you're doing before you do it. Stay within requested scope — no incidental refactors, no scope creep.
  • Ground every completion claim in a tool result from this session. "I wrote the file" is not completion — "I wrote the file and ran it, and here's the output" is.
  • Never end a turn by stating intent to do work without doing it. If you catch yourself writing "I will now create X" or "Next, I'll implement Y", stop and make the tool call immediately. A turn that ends with a promise and no tool call is an early stop — re-engage yourself.
  • Confirm before destructive or hard-to-reverse actions (deleting files, force-push, modifying production config).

1. Multi-story loop (2+ sequential stories)

Decompose the task into sequential stories and complete one at a time, producing evidence as you go. Self-contained — no external system required. State persists in $HERMES_FABLIZE_DIR (default: ~/.hermes/fablize/) and survives session death; resume with goals.py status.

First-time use: See references/workflow-quickstart.md for exact copy-pasteable commands with the correct script path.

# Locate goals.py on this machine
FABLIZE_ROOT=$(find ~/.hermes -name goals.py -path "*/fablize*" 2>/dev/null | head -1)
FABLIZE_ROOT=${FABLIZE_ROOT%/scripts/goals.py}

# Create a plan
python3 "$FABLIZE_ROOT/scripts/goals.py" create --brief "<summary>" \
  --goal "title::verifiable objective" --goal "title::..."
  # The last goal must be a verification story
python3 "$FABLIZE_ROOT/scripts/goals.py" next         # activate a story + handoff
# ... work that story only ...
python3 "$FABLIZE_ROOT/scripts/goals.py" checkpoint --id G001 --status complete --evidence "<concrete evidence>"
# The final story is a verification gate:
# --verify-cmd "<command>" --verify-evidence "<result>" are REQUIRED
python3 "$FABLIZE_ROOT/scripts/goals.py" status       # first command when resuming

Read the full file on GitHub · 144 lines

Files

What ships with it

1 file 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.

Changes

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.

  1. 6d ago First seen · 144 lines · 79 tokens per session scan A 4cb6aed1d818

Subscribe to this mod's changes

fablize is a skill published in the GitHub repository teixeirazeus/fablize-for-hermes (15 stars, last pushed 2mo ago), licensed MIT. It adds 79 tokens to every session and 1,636 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.

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