specmint-core

specmint-core is a skill for Claude Code, Codex from ngvoicu/kluris. It costs 154 tokens per session (7,035 once invoked), scanned A, a copy of specmint-core, MIT.

A persistent workflow for turning feature requests into structured specifications written in Markdown. Specs live under `.specs/` and include phases, tasks, acceptance criteria, research, decisions, progress, and deviations.

In plain words
What is it for?
Use it to create or implement specs, plan features, track phases and tasks, record decisions, check status, pause or resume work, and manage one active specification at a time.
Why use it?
It gives the coding agent a durable plan and resume point instead of relying on conversation history. It also keeps the specification and its progress records aligned as work advances.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions subagents; mentions Claude Code.

Good fit Use it to create or implement specs, plan features, track phases and tasks, record decisions, check status, pause or resume work, and manage one active specification at a time.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ngvoicu/kluris/specmint-core
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.

Any agent
npx skills add ngvoicu/kluris --skill specmint-core
Clone the repo
git clone --depth 1 https://github.com/ngvoicu/kluris

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 specmint-core

README.md
[![agentmods](https://agentmods.dev/badge/skills/ngvoicu/kluris/specmint-core/github.svg)](https://agentmods.dev/skills/ngvoicu/kluris/specmint-core)
Your own site
<a href="https://agentmods.dev/skills/ngvoicu/kluris/specmint-core"><img src="https://agentmods.dev/badge/skills/ngvoicu/kluris/specmint-core/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.

agentmods 80×15 button for specmint-core

Your own site · 80×15
<a href="https://agentmods.dev/skills/ngvoicu/kluris/specmint-core"><img src="https://agentmods.dev/badge/skills/ngvoicu/kluris/specmint-core.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 154 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 7,035 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 92% copy Near-identical to another mod 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 $0.00154 $0.07035
Opus 5.5 $0.00062 $0.02814
Sonnet 5.5 $0.00031 $0.01407
Haiku 4.5 $0.00015 $0.00703

Measured 3d ago against content hash 7d7ebd0d3c18, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

specmint-core 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 3d 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.

Origin

This is a copy

92% identical to specmint-core — 19 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

vendored/specmint-core/SKILL.md · 704 lines

How it starts

The opening of the file, as written. The whole thing — 704 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Spec Mint Core

Turn ephemeral plans into structured, persistent specs built through deep research and iterative interviews. Specs have phases, tasks, acceptance criteria, a registry, resume context, a decision log, and a deviations log. They live in .specs/ at the project root and work with any AI coding tool that can read markdown.

Whether .specs/ is committed is repository policy. Respect .gitignore and the user's preference for tracked vs local-only spec state.

Critical Invariants

  1. Single-file policy: Keep this workflow in one SKILL.md file.
  2. Canonical paths:
    • Registry: .specs/registry.md
    • Per-spec files: .specs/<id>/SPEC.md, .specs/<id>/research-*.md, .specs/<id>/interview-*.md
  3. Authority rule: SPEC.md frontmatter is authoritative. Registry is a denormalized index for quick lookup.
  4. Active-spec rule: Target exactly one active spec at a time.
  5. Parser policy: Use best-effort parsing with clear warnings and repair guidance instead of hard failure on malformed rows.
  6. Progress tracking is sacred: After completing any task, immediately update SPEC.md (checkbox, ← current marker, phase marker) AND registry.md (progress count, date). Then re-read both files to verify the edits landed correctly. Never move to the next task without updating both files. Never end a session with the registry out of sync with SPEC.md. This is non-negotiable — if you do nothing else, do this.

Session Start

If active-spec context was injected by host tooling, use it directly instead of reading files. Otherwise, fall back to reading files manually:

  1. Read .specs/registry.md to check for a spec with active status
  2. If one exists, briefly mention it: "You have an active spec: User Auth System (5/12 tasks, Phase 2). Say 'resume' to pick up where you left off."
  3. Don't force it — the user might want to do something else first

Deterministic Edge Cases (Best-Effort)

Situation Required behavior
.specs/registry.md missing If .specs/ exists, report "No registry yet" and offer to initialize it. If .specs/ is missing, report "No specs yet" and continue normally.
Malformed registry row Skip malformed row, emit warning with row text, continue parsing remaining rows.
Multiple active rows Warn user. Pick the row with the newest Updated date (or first active row if dates are unavailable) for this run. On next write, normalize to a single active spec.
Registry row exists but .specs/<id>/SPEC.md missing Warn and continue. Keep row visible in list/status with (SPEC.md missing).
Registry and SPEC conflict Trust SPEC.md, then repair registry values on next write.
No active spec List available specs and ask which to activate or resume.

Read the full file on GitHub · 704 lines

Files

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.

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. 3d ago Changed · +16 lines 7d7ebd0d3c18
  2. 1mo ago First seen · 688 lines · 154 tokens per session scan A df1ed2628f02

Subscribe to this mod's changes

specmint-core is a skill published in the GitHub repository ngvoicu/kluris (6 stars, last pushed today), licensed MIT. It adds 154 tokens to every session and 7,035 once invoked, about $0.0006 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 92% identical to specmint-core, differing in 19 lines, and is treated as a copy.

Related

Other skills, from other repositories

chinese-git-workflow

A reference for configuring Git with Chinese code-hosting services such as Gitee, Coding.net, GitLab China, and CNB, including SSH, HTTPS, credentials, CI, and repository mirroring.

jnMetaCode/superpowers-zh · 69 tokens

go-testing

Trigger: Go tests, go test coverage, Bubbletea teatest, golden files. Apply focused Go testing patterns.

Gentleman-Programming/gentle-ai · 26 tokens

review-finished-ad

Final QC gate for a rendered 9:16 video ad, run before it is published. One script checks what a machine can decide — exact 1080x1920 size, a hook that moves and speaks in the first second, no frozen stretches, no dead air, no black frames, the brand's real logo on the end card (never a favicon, never a redrawn or…

gooseworks-ai/goose-skills · 200 tokens

review-work

Post-implementation gate review: run manual QA on the real surface yourself, then launch ONE gate reviewer (never a panel) to audit goal, constraints, code quality, security, missed context, and QA evidence. Use before a PR handoff or when the user explicitly asks to review completed work.

code-yeongyu/oh-my-openagent · 63 tokens

render-3d-character-explainer

Assemble an animated character-explainer video ad (77s, 9:16, any art style: Pixar-style 3D, claymation, anime, paper-cut, felt) on an "N types of X" listicle spine: one recurring human protagonist plus one persona character per list item. Given per-scene clips, a scene timing table and narration, it trims…

gooseworks-ai/goose-skills · 178 tokens

ad-policy-check

Checks paid ads against the ad platform's rules (Meta, TikTok, Google, LinkedIn and others) and the brand's category rules: the copy, on-image or on-screen text, pictures and people. Rewrites what can be fixed honestly, adds the disclosures that are needed, and flags anything that needs a human or legal review, with…

gooseworks-ai/goose-skills · 128 tokens