Agent skill

Output Standards

by WrongStack in WrongStack/WrongStack

A skill your agent uses when defining or enforcing output formatting standards for agent responses in WrongStack.

MITAuto-check passedAI & LLM Engineering

Install Output Standards

skills CLI
$ npx skills add WrongStack/WrongStack --skill output-standards -a claude-code

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

GitHub CLI
$ gh skill install WrongStack/WrongStack output-standards --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/WrongStack/WrongStack.git skills-src && mkdir -p .claude/skills && cp -r skills-src/packages/core/skills/output-standards .claude/skills/output-standards && 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
output-standards
GitHub stars
368
Token cost
~2.5k tokens
SKILL.md length
1,183 words
Files
2
Skills in repo
38
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when defining or enforcing output formatting standards for agent responses in WrongStack.

  • Works in 9 steps: Only the leader agent's final message… → Any suggested next prompt MUST be inside… → is for prompt options only — every item… → …
  • Enforcing output formatting standards for agent responses in WrongStack
  • SKILL.md covers Rules, Output Format, auto="true" Format and Subagent Requirements, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Output Standards is an agent skill from WrongStack/WrongStack. Use this skill when defining or enforcing output formatting standards for agent responses in WrongStack. Triggers: user says "next steps format", "output standard", "response format", "final message format", "standardize next steps".

Its SKILL.md is about 2.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `SKILL.save.md`).

It sits in AI & LLM Engineering, covering Structured output and tool calling. The repository describes itself as: An AI coding agent that reads your code, edits files, runs commands, and reasons through bugs — across a terminal REPL, a full-screen TUI, and a browser UI, while you keep your… The licence is MIT.

When your agent uses it

  • Enforcing output formatting standards for agent responses in WrongStack
  • Tasks that involve Structured output and tool calling

Example prompts

  • “next steps format”
  • “output standard”
  • “response format”
  • “/output-standards”

Workflow steps

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

  1. Only the leader agent's final message SHOULD include — subagents report findings only. If nothing is pending, omit the tag entirely; do…
  2. Any suggested next prompt MUST be inside ... — never emit parseable-looking prose such as "Next steps:", "next suggests", "Suggested…
  3. is for prompt options only — every item is the exact natural-language message that can be submitted back to the agent through the current…
  4. Tags must be exact and properly closed — ... with no attributes on either tag. In particular, never emit .
  5. No markdown inside tags — plain text only, one item per line.
  6. Items are agent-directed prompt inputs — imperative wording is valid when it tells the agent what to do. Write the complete message the…
  7. Only item 1 may be marked auto="true" — at most one item may carry the marker, and its input must be complete enough to submit directly.
  8. Keep concise — max 5 items unless the task genuinely requires more.
  9. Skip whenever the live ctx.todos list still has open items — any pending or in_progress todo means the in-flight task list is not done…

What it can do on your machine

Read from SKILL.md and the folder at commit ec76a20. 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

Output Standards loads about 2.5k tokens when it runs. Until then it costs about 63 tokens; SKILL.md has 1,183 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~63
When it runs · the whole SKILL.md, loaded when a task matches
~2.5k

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 WrongStack/WrongStack at commit ec76a20, republished under its MIT licence (© WrongStack). 1,183 words, ~2,495 tokens.

Download SKILL.mdSave it as .claude/skills/output-standards/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
output-standards
description
Use this skill when defining or enforcing output formatting standards for agent responses in WrongStack. Triggers: user says "next steps format", "output standard", "response format", "final message format", "standardize next steps".
version
1.1.0

Output Standards — WrongStack

Standardizes the format of agent output, particularly the next_steps section in final messages. This ensures system-level parsing and automation can reliably extract structured data from agent responses.

Rules

  1. Only the leader agent's final message SHOULD include <nextsteps> — subagents report findings only. If nothing is pending, omit the tag entirely; do not append a loose "next steps" or goodwill-style follow-up line.
  2. Any suggested next prompt MUST be inside <nextsteps>...</nextsteps> — never emit parseable-looking prose such as "Next steps:", "next suggests", "Suggested next:", or "Let me know if you want..." when you intend /next to work.
  3. <nextsteps> is for prompt options only — every item is the exact natural-language message that can be submitted back to the agent through the current TUI or WebUI prompt input. It asks the agent to perform work; it is not a checklist of work the user must do. Human-only actions (e.g., "open DevTools yourself", "manually check the browser console") belong outside the tag as informational text.
  4. Tags must be exact and properly closed — <nextsteps>...</nextsteps> with no attributes on either tag. In particular, never emit <nextsteps auto="true">.
  5. No markdown inside tags — plain text only, one item per line.
  6. Items are agent-directed prompt inputs — imperative wording is valid when it tells the agent what to do. Write the complete message the user would send, not an instruction addressed to the user.
  7. Only item 1 may be marked auto="true" — at most one item may carry the marker, and its input must be complete enough to submit directly.
  8. Keep concise — max 5 items unless the task genuinely requires more.
  9. Skip <nextsteps> whenever the live ctx.todos list still has open items — any pending or in_progress todo means the in-flight task list is not done, and surfacing new prompt options would race the todo loop (YOLO+auto could pick the top suggestion and pivot away from the unfinished work; /next 1 would replace the next todo with an arbitrary prompt). Finish the todo list first, re-arm the tag on the turn where the last todo flips to completed. The runtime enforces the same gate, so emitting it mid-task is parsed-and-discarded — the rule exists to keep the output focused, not to override runtime behavior.

Output Format

[... task results ...]

<nextsteps>
1. Run the focused parser tests and fix any failures
2. Review the current diff and implement any necessary corrections
</nextsteps>

Informational text for human-only actions (outside the tag, no tag wrapper).
Format Requirements
ElementRuleExample
Opening tag<nextsteps> on its own line<nextsteps>
Numbered items1. prefix, one agent-directed prompt per line1. Fix the auth bug in core/session.ts and add a regression test
Closing tag</nextsteps> on its own line</nextsteps>
auto="true" itemOptional on item 1 only; include the full input content1. fix in core/auth.ts:42 auto="true"
✅ Correct Examples
Bug Hunt complete. Found 3 critical issues.

<nextsteps>
1. Fix the shell injection in packages/cli/src/slash-commands/dev.ts:15
2. Replace Math.random() with randomUUID() in the affected files
3. Run the type checker and fix any errors
</nextsteps>

Open browser DevTools → Network tab to verify the WebSocket
connection is established before testing.
Audit complete. Found bash command timeout pattern in iterations 14–20.

<nextsteps>
1. Run the session tests and type checker, then fix any failures
</nextsteps>

Review iterations 14–20 in the session log to characterize the loop.
❌ Incorrect Examples
Task done. Next steps: 1) fix bug 2) run tests

# ❌ No tags — not parseable
<nextsteps>
- Fix the bug in auth.ts  # ❌ Dash, not number
- Run tests
</nextsteps>

# ❌ Wrong bullet character
<nextsteps>
1. **Fix the bug** — use execFile instead  # ❌ Markdown inside tags
2. Run `pnpm test`
</nextsteps>

# ❌ Markdown formatting not allowed inside tags
Next steps:
1. Fix auth.ts

# ❌ Missing opening/closing tags
<nextsteps>
1. Open the browser console and check for errors  # ❌ Human-only action, not a prompt
</nextsteps>

auto="true" Format

When the first item should be auto-submitted, append auto="true" to that item. Never put it on the <nextsteps> tag or on items 2+:

<nextsteps>
1. Run the type checker and fix any errors auto="true"
2. Fix the shell injection in packages/cli/src/slash-commands/dev.ts:15 and add a regression test
</nextsteps>

The text before auto="true" is the exact prompt the user would type. There can be at most one auto item and it must be item 1. Items without auto="true" are suggestions the user can select manually.

Subagent Requirements

When a leader agent synthesizes output from subagents, the leader MUST:

  1. Collect findings from subagents (they return results, not <nextsteps>)
  2. Based on findings, produce a unified <nextsteps> section with prompt options
  3. Remove duplicates (dedupe by file path + action)
  4. Re-prioritize if needed (critical > high > medium > low)
  5. Human-only findings (e.g., "check the browser console") go outside the tag
  6. Keep the unified list within the 5-item guideline, but no hard cap

When a subagent completes its task, it MUST:

  1. NOT include <nextsteps> in its output — report findings only
  2. Report what it found/achieved in a structured, self-contained format
  3. Let the leader decide what next steps follow from the findings

Anti-patterns

  • Don't put human-only actions in <nextsteps> — those belong outside the tag as plain text
  • Don't address instructions to the user — agent-directed imperatives are valid because the selected text is submitted back to the agent verbatim
  • Don't use markdown inside <nextsteps> — plain text only
  • Don't skip the tag when there are prompt options — the tag enables the /next workflow
  • Don't use dashes or asterisks — use 1., 2., 3. numbering
  • Don't be vague — "fix bugs" is useless, "fix auth/session.ts:42" is a valid prompt
  • Don't exceed 5 items without reason — if >5, it's probably not a single task
  • Don't write declarations of intent — "we should refactor X" is not a prompt; "refactor core/config.ts" is
  • Don't assign manual work to the user — "manually check if X is correct yourself" is not a valid next prompt; when tools permit it, use an agent-directed prompt such as "Use the browser tools to verify X and fix any issue you find"
  • Don't include <nextsteps> in subagent output — subagents report findings, leaders produce next steps
Show full SKILL.md (403 more words)Show less

Out of scope

  • Don't include <nextsteps> in subagent output. Subagents report findings; the leader produces the unified tag. A subagent that emits <nextsteps> is stepping on the leader's lane.
  • Don't emit parseable-looking prose instead of the tag. "Next steps:", "Suggested next:", "Let me know if you want..." all look like the tag to the parser and break the /next workflow.
  • Don't put human-only actions in <nextsteps>. "Open DevTools yourself", "manually check the browser console" — those are informational, not agent prompts. They go outside the tag as plain text.
  • Don't put markdown inside the tag. Plain text only, one item per line. **bold**, code spans, headings — all break the parser.
  • Don't use dashes or asterisks inside the tag. Numbered items only: 1., 2., 3.. Dash and asterisk bullets are wrong and silently fail the parser.
  • Don't put auto="true" on items 2+. Only item 1 may carry the marker. The marker on later items is parsed-and-discarded.
  • Don't write vague prompts. "Fix bugs" is not a prompt; "fix auth/session.ts:42 and add a regression test" is. The selected text is submitted verbatim — vague prompts are vague runs.
  • Don't exceed 5 items without reason. If the list is over 5, it's probably not a single task. Split it or hand off.
  • Don't emit <nextsteps> while ctx.todos has open items. The in-flight todo list isn't done; new prompt options race the todo loop. Finish the list first, re-arm the tag on the turn where the last todo flips to completed.
  • Don't address the user inside the tag. Items are agent-directed prompt inputs. Imperative wording is valid when it tells the agent what to do.

Before returning

  • Only the leader emits <nextsteps>; subagents return findings only
  • Tag is well-formed: <nextsteps>...</nextsteps>, no attributes on the tags
  • Plain text only inside the tag; no markdown, dashes, or asterisks
  • Numbered items 1., 2., 3.; one prompt per line
  • At most one auto="true", and only on item 1
  • Items are agent-directed prompts, not human-only actions
  • Items are specific enough to submit verbatim (file:line + concrete action)
  • At most 5 items unless a single task genuinely requires more
  • Tag omitted if ctx.todos still has pending or in_progress items
  • Leader output synthesized from subagent findings, deduplicated and re-prioritized
  • Human-only actions sit outside the tag as plain text, not inside it

Skills in scope

  • bug-hunter — inherits output-standards for bug reports
  • security-scanner — inherits output-standards for security findings
  • refactor-planner — inherits output-standards for refactoring plans
  • tech-stack — inherits output-standards for dependency reports

© WrongStack, 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 packages/core/skills/output-standards of WrongStack/WrongStack.

  • SKILL.md
  • SKILL.save.md

Open the folder on GitHubat commit ec76a20

Compare with similar skills

Output Standards 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.

Output Standards compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Output Standards this skillWrongStack/WrongStack368—~2.5kAutomated safety check: PassMIT
Planning With Filesjarrodwatts/claude-code-config1.1k5 repos~967Automated safety check: PassNone
Tool Use Data Synthesissunny-glow/Auto-BenchMax1.3k—~3.3kAutomated safety check: PassNone
Agent Harness ConstructionKartikLabhshetwar/mind-mentor1477 repos~500Automated safety check: PassApache-2.0
Prompt Engineering Patternswshobson/agents40k—~1.3kAutomated safety check: PassMIT
Model Benchmarkstheopenco/llmgateway1.7k—~1.1kAutomated safety check: NotesCustom licence

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Questions about Output Standards

What does Output Standards do?

A skill your agent uses when defining or enforcing output formatting standards for agent responses in WrongStack. Output Standards is an agent skill from WrongStack/WrongStack. Use this skill when defining or enforcing output formatting standards for agent responses in WrongStack.

When should I use Output Standards?

Output Standards fits situations like: enforcing output formatting standards for agent responses in WrongStack; tasks that involve Structured output and tool calling.

How do I install Output Standards in Claude Code?

Run `npx skills add WrongStack/WrongStack --skill output-standards -a claude-code`. Or copy the skill folder (packages/core/skills/output-standards in WrongStack/WrongStack) into .claude/skills/output-standards in your project. Claude Code loads it when a task matches its description.

How do I install Output Standards in Codex?

Run `npx skills add WrongStack/WrongStack --skill output-standards -a codex`. Or copy the skill folder (packages/core/skills/output-standards in WrongStack/WrongStack) into .agents/skills/output-standards in your project. Codex loads it when a task matches its description.

Can I use Output Standards 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 WrongStack/WrongStack --skill output-standards -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/output-standards, .gemini/skills/output-standards, .github/skills/output-standards and .opencode/skills/output-standards in your project.

What does Output Standards need to run?

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

Does Output Standards 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 Output Standards 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 Output Standards use?

Output Standards 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 Output Standards use?

About 2.5k tokens (SKILL.md is roughly 10k 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 Output Standards?

Skills that share tags, products or a category with Output Standards: Planning With Files (jarrodwatts/claude-code-config, 1.1k stars), Tool Use Data Synthesis (sunny-glow/Auto-BenchMax, 1.3k stars), Agent Harness Construction (KartikLabhshetwar/mind-mentor, 147 stars) and Prompt Engineering Patterns (wshobson/agents, 40k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Output Standards?

WrongStack (a GitHub organization) maintains it in WrongStack/WrongStack, which has 368 GitHub stars. The repository holds 38 skills in this directory. The repository was last updated on October 6, 2026.

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