specsfy-01-inbox

specsfy-01-inbox is a skill for Codex from promovaweb/specsfy. It costs 85 tokens per session (1,016 once invoked), scanned A, original, no licence file.

A capture workflow for saving a user's idea, need, opportunity, or free-form text in the Specsfy project. It preserves the original input and creates a timestamped file in specs/inbox/.

In plain words
What is it for?
It is for recording ideas, notes, needs, opportunities, and other text that should be captured for later work.
Why use it?
It gives unstructured thoughts a place to be retrieved later without requiring questions or confirmation first.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: installed under .agents/ (shared by several agents).

Good fit It is for recording ideas, notes, needs, opportunities, and other text that should be captured for later work.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/promovaweb/specsfy/specsfy-01-inbox
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 promovaweb/specsfy --skill specsfy-01-inbox
Clone the repo
git clone --depth 1 https://github.com/promovaweb/specsfy

Made for: 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 specsfy-01-inbox

README.md
[![agentmods](https://agentmods.dev/badge/skills/promovaweb/specsfy/specsfy-01-inbox/github.svg)](https://agentmods.dev/skills/promovaweb/specsfy/specsfy-01-inbox)
Your own site
<a href="https://agentmods.dev/skills/promovaweb/specsfy/specsfy-01-inbox"><img src="https://agentmods.dev/badge/skills/promovaweb/specsfy/specsfy-01-inbox/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 specsfy-01-inbox

Your own site · 80×15
<a href="https://agentmods.dev/skills/promovaweb/specsfy/specsfy-01-inbox"><img src="https://agentmods.dev/badge/skills/promovaweb/specsfy/specsfy-01-inbox.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 85 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,016 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 unknown 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 $0.00085 $0.01016
Opus 5 $0.00043 $0.00508
Sonnet 5 $0.00017 $0.00203
Haiku 4.5 $0.00009 $0.00102

Measured 12d ago against content hash a204b6e45075, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

specsfy-01-inbox 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 12d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/capturar_inbox.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

example/.agents/skills/specsfy-01-inbox/SKILL.md · 96 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

Files

What ships with it

2 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. 12d ago First seen · 96 lines · 85 tokens per session scan A a204b6e45075

Subscribe to this mod's changes

specsfy-01-inbox is a skill published in the GitHub repository promovaweb/specsfy (79 stars, last pushed 3d ago), with no licence file. It adds 85 tokens to every session and 1,016 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.

Related

Other skills, from other repositories

hindsight-local

Store user preferences, learnings from tasks, and procedure outcomes. Use to remember what works and recall context before new tasks. (user).

vectorize-io/hindsight · 32 tokens

handoff

Resume the most recent agent session for the current working directory, leading with any unanswered question. Use when the user says "where were we", "resume", "handoff", "pick up where I left off", or starts a session with no fresh context.

rohitg00/agentmemory · 55 tokens

agentmemory-agents

How agentmemory wires into host coding agents via the connect command. Use when installing agentmemory into a specific agent, when asked which agents are supported, or when a connect adapter writes the wrong config path.

rohitg00/agentmemory · 46 tokens

last30Days

Resolve "last30Days" to a concrete ISO date range relative to your run time — a rolling 30-day window ending today. Returns inclusive civil dates plus exact UTC instants so you have temporal context without computing dates by hand. Read-only: no writes, no network. Use before a "last 30 days" / trailing-month task…

chaitanyagiri/munder-difflin · 83 tokens

thisQuarter

Resolve "thisQuarter" to a concrete ISO date range relative to your run time — this quarter so far (quarter start → today). Returns inclusive civil dates plus exact UTC instants so you have temporal context without computing dates by hand. Read-only: no writes, no network. Use before a quarter-to-date task (QTD…

chaitanyagiri/munder-difflin · 78 tokens

comet-memory

A review step for deciding whether information should become durable personal memory. It can keep, update, forget, or skip memory candidates based on bounded evidence.

rpamis/comet · 38 tokens