Agent skill

Authoring Skills

by AHepi in AHepi/DeepReason

Rules for writing, editing, and retiring skill and workflow files for LLM agents.

MITAuto-check passed

Install Authoring Skills

skills CLI
$ npx skills add AHepi/DeepReason --skill authoring-skills -a claude-code

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

GitHub CLI
$ gh skill install AHepi/DeepReason authoring-skills --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/AHepi/DeepReason.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/authoring-skills .claude/skills/authoring-skills && 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
authoring-skills
GitHub stars
141
Token cost
~1.7k tokens
SKILL.md length
978 words
Files
1
Skills in repo
30
Repo updated
First seen
Licence
MIT

At a glance

Rules for writing, editing, and retiring skill and workflow files for LLM agents.

  • Creating a SKILL.md
  • SKILL.md covers Vocabulary, E — Existence, S — Structure and W — Wording, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Workflow document

What it does

Authoring Skills is an agent skill from AHepi/DeepReason. Rules for writing, editing, and retiring skill and workflow files for LLM agents. Use when creating a SKILL.md or workflow document, reviewing one, adding a rule after an incident, or deciding whether a skill should exist at all.

Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

The licence is MIT.

When your agent uses it

  • Creating a SKILL.md
  • Workflow document
  • Adding a rule after an incident
  • Deciding whether a skill should exist at all

Example prompts

  • “Use the authoring-skills skill to rule for writing, editing, and retiring skill and workflow files for LLM agents”
  • “/authoring-skills”

What it can do on your machine

Read from SKILL.md and the folder at commit 9607fba. 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

Authoring Skills loads about 1.7k tokens when it runs. Until then it costs about 62 tokens; SKILL.md has 978 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~62
When it runs · the whole SKILL.md, loaded when a task matches
~1.7k

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 AHepi/DeepReason at commit 9607fba, republished under its MIT licence (© AHepi). 978 words, ~1,714 tokens.

Download SKILL.mdSave it as .claude/skills/authoring-skills/SKILL.md (or your agent's skills folder).
name
authoring-skills
description
Rules for writing, editing, and retiring skill and workflow files for LLM agents. Use when creating a SKILL.md or workflow document, reviewing one, adding a rule after an incident, or deciding whether a skill should exist at all.

Authoring skills and workflows

This file obeys its own rules. Any line here that violates a rule below is a defect: file an erratum against this file, by ID.

Every rule has an ID. Edit by DELTA against an ID. Never regenerate this file wholesale.

Vocabulary

One term per concept. Use these exact words everywhere; a synonym is a defect.

TermMeaning
SKILLOne file governing one unit of work: one entry state, one exit state
GATEA command whose output decides pass/fail
PROOFPasted GATE output, or a hash/count fetched from the tree
LEDGERThe per-task state file each step writes and the next step reads
DELTAAn edit adding, replacing, or deleting exactly one ID'd rule
STOPEnd work; report state, priced options, one recommendation
PARKRecord out-of-scope work in PARKED.md with a ready-to-send prompt

E — Existence

  • E1. Before writing a SKILL, run the task three times without it and record the failures. No failures → do not write it. The measured default is that instruction files reduce success and raise cost [G26].
  • E2. A SKILL ships with the eval set from E1. It exists only while it beats the no-skill baseline on that set.
  • E3. Re-run the baseline on every model change. Delta ≤ 0 → delete the SKILL. Deletion is maintenance [G26].
  • E4. Budget rule: to add a line, name the line it displaces. Compliance falls as constraint count rises, and the model resolves the crowding silently [C26].

S — Structure

  • S1. One SKILL = one loop iteration. The loop lives in the router. "Then pick the next phase" appearing in a worker file is a defect.
  • S2. Entry and exit states are named artifacts on disk, not descriptions. Route on which artifact is missing.
  • S3. A rule lives in exactly one file: the one in context when the rule fires. Two phrasings of one rule are a conflict, and conflicts are resolved silently, not flagged [C26].
  • S4. When two rules could collide, write the winner in the text now. There is one PRECEDENCE list per skill set, in the router.
  • S5. Renumber on insert. 3b is evidence a rule was bolted on where it kept failing; move it to where it is read (see G4).

W — Wording

  • W1. Each line names an operation: a command, a file read/write, a comparison. Test: can it fail? "Be thorough" cannot fail. docs_verify.py exits 0 can.
  • W2. Bind instructions to available actions with concrete verbs. Abstract dispositions do not transfer; stripping the action word from an instruction cut its behavioural effect by 95% [N26a].
  • W3. State the positive action. Negation is the dominant framing failure: models attend to the named act and drop the NOT [N26b]. Each surviving "never" must be enforced by a GATE (see X1).
  • W4. No narrative, persona, urgency, or emotional framing. Story framing activates genre behaviour that overrides both persona and explicit directives [N26a]; affective framing buys sycophancy, not compliance.
  • W5. No incident stories. Mechanize the lesson as a GATE, mutation-prove the GATE, delete the story. History lives in ERRATA.md, not in instructions.
  • W6. One worked example beats a paragraph of description. At most one per section.
Show full SKILL.md (461 more words)Show less

G — Gates and proof

  • G1. Every completion claim carries PROOF. "Done", "verified", and "none" are assertions; agents report SUCCESS against failing verifiers in the large majority of self-stops [D26].
  • G2. A legitimate "none" requires proof of looking: the scan command and its output, not the word.
  • G3. The SKILL names the GATE and its pass condition. An agent choosing its own check validates the wrong target [D26].
  • G4. An obligation is an input, not a trailing output: step N+1 opens by reading what step N's obligation wrote. Trailing writes are dropped; leading reads are not.
  • G5. Track requirement state live in the LEDGER, one row per requirement, updated as work happens. Live tracking is the one intervention with strong measured gains [I26].
  • G6. Mutation-prove every GATE once: break the guarded thing, watch it fail, restore. A GATE never seen red proves nothing.
  • G7. Steps write distilled state to the LEDGER, never raw transcripts. Raw tool output is the main context bloat.

X — Stops and outlets

  • X1. Every prohibition pairs with an outlet in the same breath. An outlet-less "never" is satisfied by relabeling.

    ProhibitionOutlet
    Out-of-scope workPARK
    Unmet requirementLEDGER row not-done + STOP
    Unprovable claimSTOP with the GATE that would prove it
  • X2. Every STOP trigger is mechanical: a count, a verdict string, an exit code. "Seems wrong" is judgment, and judgment loses to momentum — models restate rules accurately while violating them [K26]. Convert judgment to a tool; trigger on its verdict.

  • X3. Every honest outcome has a label. If not-done is unsayable, it will be said as done-with-assumption.

L — Lifecycle

  • L1. Edit by DELTA only. Wholesale regeneration collapses detail; iterative rewriting erodes a playbook into vague summary [A25].
  • L2. Compression is a separate, diffed pass, re-gated by the E1 evals. Brevity bias drops exactly the load-bearing specifics [A25].
  • L3. Pin the tested configuration: model, skill version, GATE tool versions. A model swap reopens the E1 gate.
  • L4. SKILLs are executable authority — the supply-chain problem is measured, with roughly a quarter of public skills carrying a vulnerability [S26]. Third-party skills get the same review as third-party code: read every line, pin the version, and treat any instruction to fetch or load further instructions as a rejection.
  • L5. Before shipping, plant one violation the SKILL should catch and run the workflow. The GATE goes red or the SKILL is not done.

Sources

TagWork
G26Gloaguen et al., Evaluating AGENTS.md, arXiv:2602.11988
A25Zhang et al., Agentic Context Engineering, arXiv:2510.04618 (ICLR 2026)
N26aWang et al., The Story Shapes the Agent, arXiv:2607.18566
N26bSyntactic Framing Fragility, arXiv:2601.09724
C26ConInstruct, AAAI 2026; PACIFIC; CodeIF-Bench
I26Ko et al., Illusory Completion / Epistemic Ledger, arXiv:2602.07549
D26DeployBench, arXiv:2606.05238
K26Kruthof, DriftBench, arXiv:2604.28031
S26Schmotz et al., Skill-Inject, arXiv:2602.20156; Liu et al. 2026 skill census

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

Files

Just SKILL.md in .claude/skills/authoring-skills of AHepi/DeepReason.

Open the folder on GitHubat commit 9607fba

Compare with similar skills

Authoring Skills 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.

Authoring Skills compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Authoring Skills this skillAHepi/DeepReason141—~1.7kAutomated safety check: PassMIT
Hermes Agent Skill AuthoringNousResearch/hermes-agent252k—~3.6kAutomated safety check: PassMIT
Configuring Oauth2 Authorization Flowmukul975/Anthropic-Cybersecurity-Skills34k—~1.7kAutomated safety check: PassApache-2.0
Authoring Skillsvercel/next.js143k—~1kAutomated safety check: PassMIT
Abp Authorizationabpframework/abp14k—~1.3kAutomated safety check: PassLGPL-3.0
Implementing GCP Binary Authorizationmukul975/Anthropic-Cybersecurity-Skills34k—~2kAutomated safety check: PassApache-2.0

Similar skills

  • Hermes Agent Skill Authoring

    NousResearch/hermes-agent

    Author in-repo SKILL.md files: frontmatter and structure. An agent skill from NousResearch/hermes-agent.

    252k GitHub stars~3.6k tokensUpdated today
    Agent WorkflowsAuto-check passed
  • Configuring Oauth2 Authorization Flow

    mukul975/Anthropic-Cybersecurity-Skills

    Configures secure OAuth 2.0 authorization flows, including Authorization Code with PKCE, Client Credentials, and Device Authorization Grant, covering flow selection, PKCE implementation, token…

    34k GitHub stars~1.7k tokensUpdated 1 mo ago
    Backend & APIsAuto-check passed
  • Authoring Skills

    vercel/next.js

    Official

    How to create and maintain agent skills in .agents/skills/. An agent skill from vercel/next.js.

    143k GitHub stars~1k tokensUpdated today
    Agent WorkflowsAuto-check passed
  • Abp Authorization

    abpframework/abp

    ABP permission system - PermissionDefinitionProvider, [Authorize] attribute, CheckPolicyAsync, IsGrantedAsync, ICurrentUser, IPermissionManager, multi-tenancy side.

    14k GitHub stars~1.3k tokensUpdated today
    Backend & APIsAuto-check passed
  • Implementing GCP Binary Authorization

    mukul975/Anthropic-Cybersecurity-Skills

    Implements GCP Binary Authorization end to end, including creating KMS-backed attestors, Container Analysis notes, deploy-time policies, and signing image attestations, so that only trusted…

    34k GitHub stars~2k tokensUpdated 1 mo ago
    DevOps & CloudAuto-check passed
  • Collectors Authoring

    netdata/netdata

    Author, modify, or review Netdata collectors across Go, IBM, C, Rust and external plugins.

    81k GitHub stars~1.9k tokensUpdated today
    DevOps & CloudAuto-check passed

More from AHepi/DeepReason

All 30 skills in this repo
  • Pinker Clarity Workflow

    AHepi/DeepReason

    Orchestrate a Steven Pinker-grounded workflow for teaching, explanatory writing, or material that must do both.

    141 GitHub stars~1.5k tokensUpdated 29 days ago
    Auto-check passed
  • Design, deliver, or audit explanations and lessons with a Pinker-informed focus on phenomena, the curse of knowledge, concrete models, active reasoning, feedback, and revision.

    141 GitHub stars~1.8k tokensUpdated 29 days ago
    Auto-check passed
  • Pinker Write For Readers

    AHepi/DeepReason

    Draft, revise, teach, or audit expository prose using Pinker's cognitive approach to style: classic presentation, reader modeling, curse-of-knowledge repair, coherent information order, deliberate…

    141 GitHub stars~2.1k tokensUpdated 29 days ago
    Auto-check passed
  • Example Battery

    AHepi/DeepReason

    Build a battery of concrete instances BEFORE writing or evaluating any definition, pin, or semantic clause (Reed step 1).

    141 GitHub stars~811 tokensUpdated 29 days ago
    Auto-check passed
  • Deepreason Orchestrator

    AHepi/DeepReason

    Entry point for any DeepReason problem. An agent skill from AHepi/DeepReason.

    141 GitHub stars~1.1k tokensUpdated 29 days ago
    Auto-check passed
  • Dr Audit Orchestrator

    AHepi/DeepReason

    Router for the code-audit family. An agent skill from AHepi/DeepReason.

    141 GitHub stars~1.1k tokensUpdated 29 days ago
    Auto-check passed

Questions about Authoring Skills

What does Authoring Skills do?

Rules for writing, editing, and retiring skill and workflow files for LLM agents. Authoring Skills is an agent skill from AHepi/DeepReason. Rules for writing, editing, and retiring skill and workflow files for LLM agents.

When should I use Authoring Skills?

Authoring Skills fits situations like: creating a SKILL.md; workflow document; adding a rule after an incident; deciding whether a skill should exist at all.

How do I install Authoring Skills in Claude Code?

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

How do I install Authoring Skills in Codex?

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

Can I use Authoring Skills 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 AHepi/DeepReason --skill authoring-skills -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/authoring-skills, .gemini/skills/authoring-skills, .github/skills/authoring-skills and .opencode/skills/authoring-skills in your project.

What does Authoring Skills need to run?

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

Does Authoring Skills 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 Authoring Skills 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 Authoring Skills use?

Authoring Skills 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 Authoring Skills use?

About 1.7k tokens (SKILL.md is roughly 6.9k 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 Authoring Skills?

Skills that share tags, products or a category with Authoring Skills: Hermes Agent Skill Authoring (NousResearch/hermes-agent, 252k stars), Configuring Oauth2 Authorization Flow (mukul975/Anthropic-Cybersecurity-Skills, 34k stars), Authoring Skills (vercel/next.js, 143k stars) and Abp Authorization (abpframework/abp, 14k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Authoring Skills?

AHepi (a GitHub user) maintains it in AHepi/DeepReason, which has 141 GitHub stars. The repository holds 30 skills in this directory. The repository was last updated on September 10, 2026.

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