Borrowing it
Nothing to install: this file belongs to w00fx/spec-anchored-agentic-development. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/w00fx/spec-anchored-agentic-development/main/.agents/skills/shape/SKILL.mdgit clone --depth 1 https://github.com/w00fx/spec-anchored-agentic-developmentWrote 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/w00fx/spec-anchored-agentic-development/shape)<a href="https://agentmods.dev/skills/w00fx/spec-anchored-agentic-development/shape"><img src="https://agentmods.dev/badge/skills/w00fx/spec-anchored-agentic-development/shape.svg" alt="Measured on agentmods" 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 | $0.00083 | $0.02360 |
| Opus 5 | $0.00042 | $0.01180 |
| Sonnet 5 | $0.00017 | $0.00472 |
| Haiku 4.5 | $0.00008 | $0.00236 |
Grade A, and why
shape 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 — 195 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Identify the target from the argument and pick the mode:
- An idea or ongoing discussion → interview toward a capability
spec (the
to-specskill writes it). - A transcript (meeting, chat, voice note) → extract what was decided, interrogate the gaps.
- Existing code with no spec (brownfield) → archaeology: read the code, establish what it does, interrogate what it should do.
- An existing spec → grill-back: interrogate the document for
ambiguity and holes (the
to-specskill applies the refinements). - A task / issue → sharpen it until an agent could implement it without guessing.
All modes are one machine: interview relentlessly until the
frontier is empty and we reach a shared understanding — every branch
of the design tree visited, nothing left silently assumed; that is the
termination condition, not a checklist filled. Never write implementation code — and never write or
edit the spec file: that is the to-spec skill's job.
Interview mechanics
- Map the interview as a design tree and work it in rounds. Every decision branches into the decisions that hang off it. The frontier is every question whose prerequisites are already settled — askable now without guessing at answers you haven't heard. Ask the whole frontier in one round, numbered; then wait. A question whose answer depends on another question still open in this round belongs to a later round. Each round of answers reshapes the tree — settled decisions push the frontier outward; recompute and ask the next round.
- For each question, provide your recommended answer. The human confirms or corrects; composing from scratch is friction. The recommendation is a proposal — the human's answer is the truth.
- If a question can be answered by exploring the codebase, explore the codebase instead — dispatch the exploration and don't block the frontier on it: a running exploration is an unsettled prerequisite, so only the questions downstream of it wait; ask the rest of the round now. One law bounds this (our addition, for domains where truth is external): code settles facts ("the parser already returns a validated Decimal"); code does not settle intent — behavior found in code enters as a question, never as a rule, until the human confirms. Code can contain bugs that became structural.
- Numbers before prose. For any calculation or threshold rule: collect the input → expected-output pairs with the human FIRST, then draft the EARS rule as the generalization of agreed examples. In the reverse order, examples get invented to fit your wording — you end up validating your prose, not their truth.
- Stay inside one capability. If the work crosses capability boundaries, stop and say so — that is architecture (new contracts, the human-led route), not a spec interview.
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.
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 · 195 lines · 83 tokens per session scan A c9364c009942
shape is a skill published in the GitHub repository w00fx/spec-anchored-agentic-development (5 stars, last pushed 4d ago), licensed MIT. It adds 83 tokens to every session and 2,360 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 2026-09-05.
Other skills, from other repositories
Accept
The boundary ritual — review what just landed, record an approval, journal it, and advance the phase. The ONLY step that writes approvals, and it does NO git.
A5 — Web Audit
Research the world. Real web research to find what the best teams do for every technology and pattern in the build, then implement superior approaches now (not later). The only lens that brings outside knowledge.
Brainstorm
Interactive ideation and decision capture at any pipeline boundary. Opinionated dialogue that surfaces contradictions, gaps, and untested assumptions — not template-filling. Feeds the Furnace.
Init
Initialize Genesis Spec-Kit in a project — scaffold .genesis/ and determine the project mode (greenfield, brownfield, lowfield). Use when setting up the kit for the first time.
Specify
Write the master spec — the WHAT. User stories, functional & non-functional requirements, acceptance criteria, and the dependency-ordered micro-spec plan. Strictly WHAT, never HOW.
A1 — Design & Master-Spec Consistency
The drift check. Compare what was built against the design doc and master spec. Sets the Double Gate — A3 cannot start until A1 is at zero findings.