Agent skill

Edict Agent

by vannyben7 in vannyben7/edict-agent

A skill your agent uses when Codex is facing a large, ambiguous, cross-module, high-risk, or parallelizable project and should use qiushi/workflows preflight before delegating work.

MITAuto-check passedAgent Workflows

Install Edict Agent

skills CLI
$ npx skills add vannyben7/edict-agent --skill edict-agent -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install vannyben7/edict-agent edict-agent --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/vannyben7/edict-agent.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skill/edict-agent .claude/skills/edict-agent && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
edict-agent
GitHub stars
100
Token cost
~2.3k tokens
SKILL.md length
1,207 words
Files
2
Skills in repo
1
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when Codex is facing a large, ambiguous, cross-module, high-risk, or parallelizable project and should use qiushi/workflows preflight before delegating work.

  • Works in 9 steps: Qiushi preflight. → Draft the edict. → Plan file-exclusive ministries. → …
  • Codex is facing a large
  • SKILL.md covers Operating Bias, Edict Flow, Role Patterns and Worker Dispatch Prompt Shape, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Edict Agent is an agent skill from vannyben7/edict-agent. Use when Codex is facing a large, ambiguous, cross-module, high-risk, or parallelizable project and should use qiushi/workflows preflight before delegating work. Also use when the user asks for Edict, 三省六部, qiushi analysis before execution, multi-agent orchestration, autonomous subagent judgment, delegation, parallel delivery workers, file-exclusive worker slices, conflict-safe implementation, verifier/reviewer gates, final audit, or evidence-based review for complex coding, research, documentation, or analysis…

Its SKILL.md is about 2.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `agents/openai.yaml`).

It sits in Agent Workflows, covering Subagents and Multi-agent orchestration. The licence is MIT.

When your agent uses it

  • Codex is facing a large
  • Parallelizable project and should use qiushi/workflows preflight before delegating work
  • The user asks for Edict
  • Qiushi analysis before execution

Example prompts

  • “/edict-agent”

Workflow steps

9 steps, taken from the first numbered list in SKILL.md.

  1. Qiushi preflight.
  2. Draft the edict.
  3. Plan file-exclusive ministries.
  4. Choose fanout.
  5. Dispatch delivery workers.
  6. Conflict gate.
  7. Review gate.
  8. Integrate and verify.
  9. Final audit.

What it can do on your machine

Read from SKILL.md and the folder at commit ef33094. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Edict Agent loads about 2.3k tokens when it runs. Until then it costs about 134 tokens; SKILL.md has 1,207 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~134
When it runs · the whole SKILL.md, loaded when a task matches
~2.3k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from vannyben7/edict-agent at commit ef33094, republished under its MIT licence (© vannyben7). 1,207 words, ~2,327 tokens.

Download SKILL.mdSave it as .claude/skills/edict-agent/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
edict-agent
description
Use when Codex is facing a large, ambiguous, cross-module, high-risk, or parallelizable project and should use qiushi/workflows preflight before delegating work. Also use when the user asks for Edict, 三省六部, qiushi analysis before execution, multi-agent orchestration, autonomous subagent judgment, delegation, parallel delivery workers, file-exclusive worker slices, conflict-safe implementation, verifier/reviewer gates, final audit, or evidence-based review for complex coding, research, documentation, or analysis tasks.

Edict Agent

Use a lightweight Edict pattern to turn complex work into conflict-safe parallel delivery. Preserve one clear owner: the main Codex agent runs the qiushi preflight, cuts the work into file-exclusive slices, delegates implementation workers, reviews, integrates, verifies, and answers.

Operating Bias

Default to finding deliverable worker slices, not serial execution and not parallel exploration for its own sake. Use explorers, reviewers, or verifiers only when they materially improve boundary clarity, safety, or confidence.

Stay single-agent when most of these are true:

  • The change is small, local, or easy to verify.
  • The work requires one tightly coherent edit across shared state.
  • Safe file or directory ownership boundaries cannot be drawn.
  • Delegation would create more merge risk than delivery value.
  • Tooling for subagents is unavailable; in that case, emulate the pattern with an explicit checklist and self-review.

Use parallel workers when at least two of these are true:

  • The task spans multiple modules, services, languages, papers, datasets, or artifacts.
  • Independent implementation slices can be assigned with clear file, directory, subsystem, or artifact ownership.
  • Several concrete features, fixes, checks, or document sections can progress at the same time.
  • The user has requested autonomous multi-agent judgment, Edict mode, delegation, or parallel work.
  • Parallel delivery would shorten the critical path without causing shared-file conflicts.

Edict Flow

  1. Qiushi preflight. Read and follow the installed workflows skill as the qiushi workflow source when available, typically at ${CODEX_HOME:-$HOME/.codex}/skills/workflows/SKILL.md. If the workflows skill is not available, run the compact preflight below directly. Keep this preflight lightweight unless the task itself demands the full workflow. Produce:

    • current situation
    • key constraints
    • main contradiction or bottleneck
    • acceptance criteria and verification signals
    • candidate parallel delivery slices
    • files, directories, or artifacts that must stay under main-agent ownership
  2. Draft the edict. Convert the user's goal and qiushi preflight into concrete acceptance criteria, constraints, likely affected areas, worker slices, and verification commands.

  3. Plan file-exclusive ministries. Split along natural ownership boundaries. Each worker must own a non-overlapping file, directory, subsystem, artifact, or document section. Shared files, entrypoints, configuration files, migrations, lockfiles, public API glue, and cross-cutting integration code stay with the main agent unless explicitly assigned to exactly one worker.

  4. Choose fanout. Use one agent for simple tasks. Use 2-6 workers for medium tasks. For highly decomposable tasks with clean ownership boundaries, scale beyond 6 and up to the configured agents.max_threads cap, which may be 30. Do not chase the cap when slices are vague or overlapping.

  5. Dispatch delivery workers. Give each worker a narrow implementation objective, context, exclusive scope, forbidden scope, edit permissions, and expected output. Workers should advance one concrete functional point or subtask, not merely explore. Use an explorer only when ownership boundaries are not yet knowable.

  6. Conflict gate. Before edits begin, check for overlap. If two slices need the same file or artifact, do not let both workers edit it. Re-slice the work, make one worker advisory-only, or keep the shared change for the main agent to do serially.

  7. Review gate. Treat worker outputs as proposals until inspected. Require evidence for important claims. Re-read important files yourself before merging or reporting. Use Reviewer or Verifier agents for high-risk, cross-module, user-facing, security-sensitive, financially or legally consequential tasks, or when workers disagree.

  8. Integrate and verify. The main agent owns final integration, shared files, diff review, tests/checks/renders when feasible, and the final answer.

  9. Final audit. Before answering, check scope, evidence, diffs, tests, unverified areas, residual risks, and whether the parallel plan avoided shared-file conflicts.

Role Patterns

  • Worker: scoped implementation for one feature point, subsystem, artifact, or document section with exclusive ownership. Prefer this role for parallel delivery.
  • Explorer: read-only investigation of architecture, call chains, failing behavior, data sources, or test coverage. Use only when boundaries are unclear.
  • Reviewer: skeptical audit of a plan, diff, paper section, migration, API contract, or UI behavior. Use for risk and contradiction checks.
  • Verifier: run or design targeted checks, reproduce bugs, compare expected and actual behavior.

Worker Dispatch Prompt Shape

When launching a worker subagent, include:

  • Objective: the concrete deliverable to implement or advance.
  • Context: only the relevant user goal, qiushi preflight result, and constraints.
  • Exclusive scope: exact files, directories, systems, sources, or artifact sections the worker may modify.
  • Forbidden scope: shared files, overlapping areas, unrelated cleanup, assumptions not to make, and anything reserved for the main agent.
  • Coordination: whether the worker may edit files directly or must return a patch/proposal.
  • Output: changed files, commands run, evidence, risks, and any integration notes for the main agent.

Do not pass hidden conclusions as facts. Independent review should stay independent.

Show full SKILL.md (449 more words)Show less

Conflict Rules

  • Never assign the same file or artifact to multiple editing workers.
  • Keep shared entrypoints, config, migrations, generated manifests, lockfiles, and broad public API wiring under main-agent control unless one worker receives exclusive ownership.
  • If overlap appears after dispatch, stop the overlapping work, collect partial results, and reassign or merge serially.
  • Ask workers to make the smallest scoped change that satisfies their slice.
  • The main agent resolves cross-slice integration and final behavior.

Quality Rules

  • Run qiushi preflight every time this skill is used.
  • Keep delegation proportional to the task, but do not default to serial when safe delivery slices exist.
  • Do not delegate final responsibility.
  • Do not spawn agents just to create ceremony.
  • Do not let subagents overwrite unrelated user work.
  • Do not accept subagent output without direct verification when correctness matters.
  • Prefer deterministic tests, diffs, rendered checks, or source citations over vibes.
  • If subagents disagree, inspect the primary artifacts and decide with evidence.
  • Do not treat "a subagent says so" as sufficient evidence.

Strict Review Protocol

Apply this protocol whenever the task is large, high-risk, user-facing, security-sensitive, financially or legally consequential, cross-module, or uses subagents for implementation.

  • Evidence: Require important worker or reviewer findings to include file paths, line numbers, command outputs, source links, screenshots, logs, or other primary evidence when available.
  • Diff review: For code changes, inspect the final diff before answering. Confirm the diff matches the intended scope and does not include unrelated changes.
  • Tests: Run relevant tests, type checks, linters, renders, or smoke checks when feasible. If not feasible, state why and identify what remains unverified.
  • High-risk review: For high-risk tasks, use at least one Reviewer or Verifier subagent when subagents are available. If unavailable, perform a separate self-review pass using the same criteria.
  • Claim audit: Before final response, check that each material claim is supported by direct inspection, a command result, a test result, or a cited source.
  • Failure audit: Look for likely failure modes: missed call sites, stale assumptions, edge cases, race conditions, migration gaps, UI regressions, security/privacy leaks, and test blind spots.
  • Final audit: End with an internal checklist covering scope, evidence, diff, tests, unverified items, residual risk, and conflict avoidance.
  • Final response: Include delegated slices, changed or learned items, verified items, unverified items, and residual risks when they matter. Keep the report compact.

Lightweight Labels

Use the Edict metaphor internally as structure, not as performance. In user updates, plain engineering language is usually better:

  • Qiushi preflight: what is the real situation and main bottleneck?
  • Planning: what are the safe delivery slices?
  • Dispatch: which worker owns which files or artifacts?
  • Conflict gate: what must stay with the main agent?
  • Review: what needs challenge?
  • Integration: what lands?
  • Verification: how do we know?

© vannyben7, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in skill/edict-agent of vannyben7/edict-agent.

  • SKILL.md
  • agents/openai.yaml

Open the folder on GitHubat commit ef33094

Compare with similar skills

Edict Agent next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Edict Agent compared with similar skills
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Edict Agent this skillvannyben7/edict-agent100—~2.3kAutomated safety check: PassMIT
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O2 Review Loopopenobserve/openobserve22k—~3.7kAutomated safety check: PassAGPL-3.0
Harness Agent Team Designerrevfactory/harness9.1k—~4.5kAutomated safety check: PassApache-2.0
ClawTeam Multi-Agent Swarmwin4r/ClawTeam-OpenClaw1.5k1 repos~2.9kAutomated safety check: PassMIT
Sub-Agent Delegationcodewhale-hq/Codewhale41k—~790Automated safety check: PassMIT

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Categories

Questions about Edict Agent

What does Edict Agent do?

A skill your agent uses when Codex is facing a large, ambiguous, cross-module, high-risk, or parallelizable project and should use qiushi/workflows preflight before delegating work. Edict Agent is an agent skill from vannyben7/edict-agent. Use when Codex is facing a large, ambiguous, cross-module, high-risk, or parallelizable project and should use qiushi/workflows preflight before delegating work.

When should I use Edict Agent?

Edict Agent fits situations like: Codex is facing a large; parallelizable project and should use qiushi/workflows preflight before delegating work; the user asks for Edict; qiushi analysis before execution.

How do I install Edict Agent in Claude Code?

Run `npx skills add vannyben7/edict-agent --skill edict-agent -a claude-code`. Or copy the skill folder (skill/edict-agent in vannyben7/edict-agent) into .claude/skills/edict-agent in your project. Claude Code loads it when a task matches its description.

How do I install Edict Agent in Codex?

Run `npx skills add vannyben7/edict-agent --skill edict-agent -a codex`. Or copy the skill folder (skill/edict-agent in vannyben7/edict-agent) into .agents/skills/edict-agent in your project. Codex loads it when a task matches its description.

Can I use Edict Agent in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add vannyben7/edict-agent --skill edict-agent -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/edict-agent, .gemini/skills/edict-agent, .github/skills/edict-agent and .opencode/skills/edict-agent in your project.

What does Edict Agent need to run?

SKILL.md names no scripts, command-line tools or credentials: Edict Agent is instructions for the agent only.

Does Edict Agent access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Edict Agent safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Edict Agent use?

Edict Agent is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Edict Agent use?

About 2.3k tokens (SKILL.md is roughly 9.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Edict Agent?

Skills that share tags, products or a category with Edict Agent: Paseo Advisor Second Opinion (getpaseo/paseo, 20k stars), O2 Review Loop (openobserve/openobserve, 22k stars), Harness Agent Team Designer (revfactory/harness, 9.1k stars) and ClawTeam Multi-Agent Swarm (win4r/ClawTeam-OpenClaw, 1.5k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Edict Agent?

vannyben7 (a GitHub user) maintains it in vannyben7/edict-agent, which has 100 GitHub stars. The repository was last updated on July 28, 2026.

Source: vannyben7/edict-agent on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.