A tool for turning an unclear request into a ready-to-use prompt or reusable skill recipe, grounded in an authoritative reference document.

It helps clarify intent, check a reference for guidance and produce a prompt for a later session or tool.

It reduces guesswork when the request leaves important details unspecified or depends on current reference material.

forge — Skill for Claude Code and Codex by jongwony: A tool for turning an unclear request into a…

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/jongwony/epistemic-protocols/forge

Any agent

npx skills add jongwony/epistemic-protocols --skill forge

Clone the repo

git clone --depth 1 https://github.com/jongwony/epistemic-protocols

Made for: Claude Code, Codex.

Or install epistemic-cooperative, the plugin that ships this one along with the rest of its 22 skills, 4 agents.

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/jongwony/epistemic-protocols/forge.svg)](https://agentmods.dev/skills/jongwony/epistemic-protocols/forge)

Your own site

<a href="https://agentmods.dev/skills/jongwony/epistemic-protocols/forge"><img src="https://agentmods.dev/badge/skills/jongwony/epistemic-protocols/forge.svg" alt="Measured on agentmods" height="20"></a>

Per session 36 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 4,007 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.

Model	Per session	Once invoked
Fable 5	$0.00036	$0.04007
Opus 5	$0.00018	$0.02004
Sonnet 5	$0.00007	$0.00801
Haiku 4.5	$0.00004	$0.00401

Measured 4d ago against content hash 54b6623f8c8b, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

forge 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.

epistemic-cooperative/skills/forge/SKILL.md · 162 lines

How it starts

The opening of the file, as written. The whole thing — 162 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Forge: Reference-Grounded Prompt-Artifact Formation

Form a ready-to-use prompt artifact by grounding the user's under-determined intent in an authoritative reference document. This skill does not run the downstream tool, open branches, or create PRs. It surfaces the user's intent coordinates, grounds them against a reference (dynamically fetched, staleness-guarded), and emits one prompt artifact — an initial prompt for a follow-up session or tool, or a standing custom-skill recipe.

This is a projection utility, not a runtime executor and not a new epistemic protocol. Forge introduces no new deficit. It realizes a known composite — surface under-determined intent coordinates (reverse-induction, the /elicit move) ∘ ground them against a canonical external reference (the /inquire canonical-external move) → thin projection. The output is a prompt artifact the user carries into the next session or tool.

Core Contract

/forge owns reference-grounded prompt-artifact formation:

ReferenceIntake
  -> ResolvedIntentIR        (core: reverse-induce under-determined coordinates)
  -> GroundedReference       (core: canonical-external snapshot + staleness guard)
  -> VendorPromptDraft       (adapter: project IR through the reference schema)
  -> PromptArtifact          (adapter: a prompt-family payload for a follow-up session/tool, or a standing custom-skill recipe)

The core is vendor-agnostic and stops at ResolvedIntentIR plus the validated GroundedReference. The adapter owns the projection into a vendor-native artifact form. The core never learns vendor specifics; the adapter never re-derives intent.

Core / Seam / Adapter

Core (vendor-agnostic): reverse-induce the user's under-determined intent into ResolvedIntentIR; extract the adapter-derived required slots (ContractElements) the reference's schema requires; partition slots into relay vs constitution; own the staleness policy, provenance, and generic validation.
Vendor Adapter Contract (the seam): the narrow, parameterized interface every adapter satisfies. New references plug in by adding an adapter section — accumulated per real use, never built top-down.
Adapters (concrete instances): Higgsfield, gpt-image, codex-goals, and claude-session ship now. Each owns reference discovery/fetch, the reference's prompt schema, the projection rendering, and unsupported-field degradation.

Read the full file on GitHub · 162 lines

Files

What ships with it

4 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.

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.

4d ago First seen · 162 lines · 36 tokens per session scan A 54b6623f8c8b

Subscribe to this mod's changes

forge is a skill published in the GitHub repository jongwony/epistemic-protocols (160 stars, last pushed yesterday), licensed MIT. It adds 36 tokens to every session and 4,007 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 2026-08-30.

Data and AI ai-collaboration claude-code epistemology metacognition plugin

forge

Getting it into your agent

Wrote this? Show the measurements

What it costs to keep this loaded

Grade A, and why

Nothing flagged

How it starts

Forge: Reference-Grounded Prompt-Artifact Formation

Core Contract

Core / Seam / Adapter

What ships with it

What this file has done since we first saw it

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