specflo-agent

specflo-agent is a skill for Claude Code, Codex from TacoTakumi/specflo. It costs 106 tokens per session (1,729 once invoked), scanned A, original, no licence file.

A guide for controlling Pi workers through the Specflo agent command-line tool. Pi workers are separate coding agents that can receive prompts and report progress.

In plain words
What is it for?
Use it to start workers, send them tasks, monitor their progress, and stop them.
Why use it?
It provides a defined process for delegating work and managing those workers.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

Good fit Use it to start workers, send them tasks, monitor their progress, and stop them.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/tacotakumi/specflo/specflo-agent
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 TacoTakumi/specflo --skill specflo-agent
Clone the repo
git clone --depth 1 https://github.com/TacoTakumi/specflo

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 specflo-agent

README.md
[![agentmods](https://agentmods.dev/badge/skills/tacotakumi/specflo/specflo-agent.svg)](https://agentmods.dev/skills/tacotakumi/specflo/specflo-agent)
Your own site
<a href="https://agentmods.dev/skills/tacotakumi/specflo/specflo-agent"><img src="https://agentmods.dev/badge/skills/tacotakumi/specflo/specflo-agent.svg" alt="Measured on agentmods" height="20"></a>
Per session 106 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,729 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 $0.00106 $0.01729
Opus 5 $0.00053 $0.00864
Sonnet 5 $0.00021 $0.00346
Haiku 4.5 $0.00011 $0.00173

Measured 4d ago against content hash 8d4c448ff206, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

specflo-agent 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.

skills/specflo-agent/SKILL.md · 120 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

Read it on GitHub

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. 4d ago First seen · 120 lines · 106 tokens per session scan A 8d4c448ff206

Subscribe to this mod's changes

specflo-agent is a skill published in the GitHub repository TacoTakumi/specflo (6 stars, last pushed 2d ago), with no licence file. It adds 106 tokens to every session and 1,729 once invoked, about $0.0005 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 2026-09-04.

Related

Other skills, from other repositories

stage-edit

Intelligent editing of real user-supplied footage—understand it with transcript/OCR/scene/silence/quality/vision evidence, then choose deterministic timeline operations or a constrained semantic AI edit. Trigger for repurpose, montage, cleanup, localization, narration, or local content changes.

Orkas-AI/Orkas-VideoStudio · 62 tokens

gate-control

Canonical VideoStudio review authorization and state-transition policy. Use after any Gate B/C/Preview/D decision, post-gate revision, resumed approval, or exhausted visual-QA result across COMPOSE/AUTO/GENERATE/EDIT; maps explicit user authority and durable artifact state to one next action with ovs gate transition.…

Orkas-AI/Orkas-VideoStudio · 81 tokens

brain-ingest

The process for digesting a conversation, document, or research result, classifying it, and writing it down as brain content (a root-page update or a new/updated page) through the brain CLI.

mindmuxai/brain.md · 48 tokens

orchestration

The master program for producing or editing a video end to end — read this at the START of any video task (after video-router), then follow the gates and the per-line steps. Trigger for "make / edit / cut / caption / dub / animate a video"; it sequences the compose / generate / edit lines and the approval gates. Do…

Orkas-AI/Orkas-VideoStudio · 99 tokens

stage-assemble

Deterministically assemble an approved cross-modal EDL (plan.json) into a finished video — produce each segment (edit/compose/generate/provided, delegated to its line), then assemble in ffmpeg tiers: concat primaries → overlay composed layers → mix narration once (coverage check) → burn captions → verify loudness…

Orkas-AI/Orkas-VideoStudio · 0 tokens

aikito

Install, configure, and operate Aikito workspaces, including memory, skills, project resources, MCP servers, subagents, adoption, synchronization, and status verification.

lsaint/aikito · 38 tokens