accint-frames

accint-frames is a skill for Claude Code, Codex from sickn33/agentic-awesome-skills. It costs 32 tokens per session (468 once invoked), scanned A, original, MIT.

A workflow for resolving pending acc deliberations, called brainframes, that were saved by earlier headless runs. It reads the question and context, then submits a proposal.

In plain words
What is it for?
Draining the deliberation queue, answering typed questions, submitting predictions, and recording the resulting commitment and cited context.
Why use it?
It helps continue interrupted reasoning tasks instead of leaving saved work unresolved.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Part of the agentic-awesome-skills plugin — 196 skills shipped together

Good fit Draining the deliberation queue, answering typed questions, submitting predictions, and recording the resulting commitment and cited context.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/sickn33/agentic-awesome-skills/accint-frames
About the project

AAS Core is a local control plane for coding agents that lets them search a large catalogue of skills, choose a stack, validate it, and create a reproducible plan. It is used to assemble and review agent workflows through its CLI, local MCP server, catalogue, plugins, and Workbench. The catalogue add-ons provide the skills, plugins, bundles, and workflows that AAS Core helps agents select and validate.

sickn33/agentic-awesome-skills · 46,184 stars · on GitHub · sickn33.github.io

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 sickn33/agentic-awesome-skills --skill accint-frames
Clone the repo
git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills

Made for: Claude Code, Codex.

Or install agentic-awesome-skills, the plugin that ships this one along with the rest of its 196 skills.

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 accint-frames

README.md
[![agentmods](https://agentmods.dev/badge/skills/sickn33/agentic-awesome-skills/accint-frames/github.svg)](https://agentmods.dev/skills/sickn33/agentic-awesome-skills/accint-frames)
Your own site
<a href="https://agentmods.dev/skills/sickn33/agentic-awesome-skills/accint-frames"><img src="https://agentmods.dev/badge/skills/sickn33/agentic-awesome-skills/accint-frames/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 accint-frames

Your own site · 80×15
<a href="https://agentmods.dev/skills/sickn33/agentic-awesome-skills/accint-frames"><img src="https://agentmods.dev/badge/skills/sickn33/agentic-awesome-skills/accint-frames.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 32 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 468 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original 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 $0.00032 $0.00468
Opus 5 $0.00016 $0.00234
Sonnet 5 $0.00006 $0.00094
Haiku 4.5 $0.00003 $0.00047

Measured 2d ago against content hash aaeaaa58fe4a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

accint-frames 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.

Origin

Copies of this mod

6 near-identical copies found in the catalogue:

plugins/agentic-awesome-skills-claude/skills/accint-frames/SKILL.md · 42 lines

What it actually says

frames

When to Use

Use this skill when you need drain acc's deliberation queue — open/waiting brain_frames checkpointed by headless runs — via acc_act(runtime="continue").

Routing sugar over the two MCP verbs — no logic lives here.

  1. List the queue: acc frames (CLI, read-only observation).
  2. For each open/waiting frame: read its typed hole + retrieved context, deliberate, then submit via acc_act(runtime="continue", input={"frame_id": ..., "submit_token": ..., "proposal_text": ...}).
  3. End proposal_text with PREDICT: <0.00-1.00> <why>; acc strips that line before the owner sees it and uses it to calibrate the Work Model against later outcomes.
  4. An identical duplicate submit replays the cached result — resubmitting is safe.
  5. Surface each resolution's commitment id and cited [ids]; drain the queue fully before taking new work — checkpointed frames are work headless runs saved for you.

Example

User request:

Use @accint-frames for this task: Drain acc's deliberation queue — open/waiting brain_frames checkpointed by headless runs — via acc_act(runtime="continue").

Limitations

  • Use this skill only when the task clearly matches its upstream source and local project context.
  • Verify commands, generated code, dependencies, credentials, and external service behavior before applying changes.
  • Do not treat examples as a substitute for environment-specific tests, security review, or user approval for destructive or costly actions.
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. 2d ago Changed · +6 lines aaeaaa58fe4a
  2. 9d ago First seen · 36 lines · 32 tokens per session scan A eeb9006a7bc5

Subscribe to this mod's changes

accint-frames is a skill published in the GitHub repository sickn33/agentic-awesome-skills (46,184 stars, last pushed today), licensed MIT. It adds 32 tokens to every session and 468 once invoked, about $0.0002 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

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