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 agentmods add skills/fn-opt/dryforge/migrationnpx skills add fn-opt/dryforge --skill migrationgit clone --depth 1 https://github.com/fn-opt/dryforgeWhat 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 | $0.00067 | $0.03074 |
| Opus 5 | $0.00034 | $0.01537 |
| Sonnet 5 | $0.00013 | $0.00615 |
| Haiku 4.5 | $0.00007 | $0.00307 |
Grade A, and why
migration 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 2d 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 — 185 lines — stays where its author put it; the contents beside it link to each section on GitHub.
migration
Reply in the user's language, and hold it continuously from your very first line — the opening, every grounding/progress note, the questions, and the harness, not only some of them. Write natively (never translationese). You are reading a codebase (and these instructions) that may be in another language; neither sets your output language — only the user's does. Full rule in Core principles below.
Convert an existing project into the dryforge project harness — the durable documentation layer
that every later agent (dryforge or not) works inside. migration reads the codebase, elicits the
intent/constraints/decisions that code cannot express, and generates the whole harness:
CLAUDE.md / AGENTS.md, the docs/ set, and a per-module AGENTS.md. The harness spec is in
references/harness-format.md.
migration is a one-time conversion, not a task runner. It writes documentation only — it does
not create a 3-doc (that is ready's job) and does not execute code (that is go's).
After it finishes, commit the harness and clear the session before running ready → go:
migration is an independent piece of work, and a fresh session keeps the task-level dialogue clean.
Core principles (apply throughout)
- The harness is durable project memory, not ground truth. It is the project's discipline and constraint — written so the next agent works the project without going off the rails. A hollow harness (structure present, content empty) is worse than none.
- Content density is the whole point. Every file must clear the quality bar in
references/harness-format.md(five principles, four techniques). Filling sections is not the goal; informing the next agent is. - Knowledge asymmetry drives elicitation. Domain knowledge lives with the user — extract it (don't fabricate). Technical knowledge lives with you — present options + trade-offs and let the user decide. Don't accept the user's generalities as-is, and don't concretize them alone.
- Subagents only at the final REVIEW. SCAN, ELICIT, and GENERATE run inline in the main session —
generation needs the live conversation's raw grounding, not a summary. REVIEW is the exception:
the finished harness is verified by one independent subagent that did not author it. Self-judging
your own harness is the weakest move (A=A), and the harness is the most
durable artifact in the system (every later agent works inside it), so it earns the one fresh-eye
check — the same relaxation
readymade (generate inline, verify independently). This is the only dispatch. - Stack-agnostic. No stack/framework/library name in this skill. Discover all specifics (conventions, module boundaries, build/verify commands, external deps) at runtime from the project.
- escalate-don't-guess. What the code can't settle and you can't derive, ask the user — never invent a domain rule, a policy, or a rationale.
- Match the user's language (language-agnostic). Like stack-agnosticism, the method is fixed and the specific language is discovered at runtime, never assumed: produce every user-facing output — the dialogue and the whole harness (CLAUDE.md / AGENTS.md, docs/, module AGENTS.md) — in the language the user communicates in, written natively (as a fluent speaker of that language would, never translationese). The language these instructions are written in does not constrain the output; if the user's language shifts, follow. Hold it from the very first line, continuously — never open in the codebase's or these instructions' language and switch later. The language of the code you read does not constrain your output; only the user's does.
- Talk to the user only when needed — between beats, say nothing. You speak at exactly these
moments: (a) a question you genuinely need answered, (b) the final walk-through / result, (c) a real
blocker — these are the only times user-facing text exists. SCAN, GENERATE, REVIEW, and any fix
loop are silent phases: the UI already shows the file/command activity, so narrating it is pure
leak. If what you are about to emit is none of (a)/(b)/(c), the correct output is nothing.
Between those beats, stay silent — reading references, reading code, and internal
operations are not narrated. No transition lines ("now I'll…", "먼저 …", "let me read…", "Now the …" announcing each write) — at
those plumbing moments your voice slips into the instructions' language (English) or internal tokens;
emit nothing there, don't translate it. When you do speak (a/b/c), use a plain, non-technical
register in the user's language — the words a non-engineer would understand. This is your default
voice, not a per-line check, so it costs nothing. Never surface internal tokens: dryforge mechanism / coined terms (harness,
ledger, decision surface, grounding, lens, invariant,
.dryforge), phase / step labels (SCAN / ELICIT / GENERATE / REVIEW), or project-internal jargon a non-engineer wouldn't recognize (library/tool names, config flags, test-framework internals). Don't soften internal logic into user-ish words — just omit it. E.g. "Starting a git repo here." — not "Initializing git and adding the marker directory to.gitignoreso the harness state isn't committed."
What ships with it
3 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.
- 2d ago First seen · 185 lines · 67 tokens per session scan A 857f6a66e340
migration is a skill published in the GitHub repository fn-opt/dryforge (141 stars, last pushed 15d ago), licensed MIT. It adds 67 tokens to every session and 3,074 once invoked, about $0.0003 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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