context-reentry

context-reentry is a skill for Codex from Firou91/dyslex.ai. It costs 36 tokens per session (486 once invoked), scanned A, original, Apache-2.0.

A context-reentry skill helps resume interrupted work after a pause, context loss, or task switch. It records what is known, what is finished, what remains, and the next small action.

In plain words
What is it for?
It is for creating a concise restart point with completed work, remaining work, exact project details, and one next action.
Why use it?
It prevents the agent from guessing about decisions or repeating completed work when returning to an unfinished task.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: mentions Codex.

Good fit It is for creating a concise restart point with completed work, remaining work, exact project details, and one next action.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/firou91/dyslex.ai/context-reentry
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 Firou91/dyslex.ai --skill context-reentry
Clone the repo
git clone --depth 1 https://github.com/Firou91/dyslex.ai

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 context-reentry

README.md
[![agentmods](https://agentmods.dev/badge/skills/firou91/dyslex.ai/context-reentry/github.svg)](https://agentmods.dev/skills/firou91/dyslex.ai/context-reentry)
Your own site
<a href="https://agentmods.dev/skills/firou91/dyslex.ai/context-reentry"><img src="https://agentmods.dev/badge/skills/firou91/dyslex.ai/context-reentry/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 context-reentry

Your own site · 80×15
<a href="https://agentmods.dev/skills/firou91/dyslex.ai/context-reentry"><img src="https://agentmods.dev/badge/skills/firou91/dyslex.ai/context-reentry.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 36 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 486 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 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 $0.00036 $0.00486
Opus 5.5 $0.00014 $0.00194
Sonnet 5.5 $0.00007 $0.00097
Haiku 4.5 $0.00004 $0.00049

Measured 2mo ago against content hash 980617793aa4, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

context-reentry 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 2mo 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/context-reentry/SKILL.md · 63 lines

How it starts

The opening of the file, as written. The whole thing — 63 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Context Reentry

Superpowers Gate

Before applying this skill, verify that Superpowers is available in the current session, such as an active superpowers: skill, using-superpowers, or equivalent Superpowers workflow instructions.

If Superpowers is missing or uncertain, stop and reply exactly with this guidance before doing any dyslex.ai work:

dyslex.ai requires Superpowers before it can run. Install Superpowers from /plugins, or use codex plugin add superpowers@<marketplace> if you manage plugins from the Codex CLI, then start a new session.

Do not perform the requested dyslex.ai workflow until Superpowers is installed and loaded.

Create a reliable reentry point. Do not invent missing decisions.

Functional Mechanism

Primary dimensions: workingMemory.contextRetentionLoad, workingMemory.simultaneousInformationLoad, executiveFunction.planningLoad, and executiveFunction.sequencingLoad.

Use the agent's memory of the conversation as external state so the user does not need to mentally reconstruct the whole task.

Interaction Risk

After a pause, compaction, interruption, or task switch, the user may lose decisions, constraints, branch state, test results, or the next safe action.

Agent Strategy

  • Separate known facts from unknowns.
  • Keep completed, remaining, and next single action distinct.
  • Preserve exact branches, versions, paths, commands, errors, and decisions.
  • Mention only the context needed to resume safely.

Avoid

  • Do not invent missing decisions.
  • Do not infer a diagnosis from context loss.
  • Do not overwhelm the user with the full transcript when a short reentry point is enough.
  • Do not ask the user to restate information already available in context.

Output Format

Where we are
Already decided
Completed
Remaining
Next single action
Important context

Rules

  • Use only information present in the conversation, files, plan, or tool output.
  • Mark unknown items as unknown.
  • Keep the next action small and concrete.
  • Preserve exact file names, commands, branches, issue IDs, and errors.

Read the full file on GitHub · 63 lines

Files

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.

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. 2mo ago Changed · +24 lines 980617793aa4
  2. 2mo ago First seen · 39 lines · 36 tokens per session scan A 83a456febfba

Subscribe to this mod's changes

context-reentry is a skill published in the GitHub repository Firou91/dyslex.ai (7 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 36 tokens to every session and 486 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-08-31.

Related

context-reentry compared with skills from other repositories

context-reentry next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
context-reentryFirou91/dyslex.aiSkill72mo agoApache-2.0A36Codex
imagegenopenai/codexSkill134ktodayApache-2.0A113Codex
playwright-climicrosoft/playwrightSkill99ktodayApache-2.0A19Claude Code
local-ai-agentsmicrosoft/ai-agents-for-beginnersSkill79ktodayMITA200Claude Code, Codex
systematic-debuggingobra/superpowersSkill314k3d agoMITA21Claude Code
next-cache-components-adoptionvercel/next.jsSkill143ktodayMITA95Claude Code
next-partial-prefetching-adoptionvercel/next.jsSkill143ktodayMITA103Claude Code