Agent skill

Debugging Empty Output

by friday-platform in friday-platform/friday-studio

Loads when a workspace job tool returns success: true, status: completed AND (summary: "" OR artifactIds: [] OR summary equals "Session completed without producing a summarizable document").

Custom licenceAuto-check passedDevelopment

Install Debugging Empty Output

skills CLI
$ npx skills add friday-platform/friday-studio --skill debugging-empty-output -a claude-code

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

GitHub CLI
$ gh skill install friday-platform/friday-studio debugging-empty-output --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/friday-platform/friday-studio.git skills-src && mkdir -p .claude/skills && cp -r skills-src/packages/system/skills/debugging-empty-output .claude/skills/debugging-empty-output && 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
debugging-empty-output
GitHub stars
104
Token cost
~1.1k tokens
SKILL.md length
452 words
Files
1
Skills in repo
20
Repo updated
First seen
Licence
Custom licence

At a glance

Loads when a workspace job tool returns success: true, status: completed AND (summary: "" OR artifactIds: [] OR summary equals "Session completed without producing a summarizable document").

  • Works in 4 steps: Read aiSummary.summary from… → Inspect agentBlocks[].toolCalls for… → Check the agent prompt's instructions → …
  • Tasks that involve Debugging
  • SKILL.md covers Diagnostic checklist, What NOT to do and Cross-references
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Debugging Empty Output is an agent skill from friday-platform/friday-studio. Loads when a workspace job tool returns success: true, status: completed AND (summary: "" OR artifactIds: [] OR summary equals "Session completed without producing a summarizable document"). Diagnostic checklist for sessions that ran successfully but emitted nothing useful. Most common cause: the agent's prompt didn't instruct the LLM to call complete() for an outputTo action. Do NOT migrate Pattern A → Pattern B FSM as a fix — that's almost always wrong.

Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Development, covering Debugging. The repository describes itself as: Agent Harness Platform — shareable workspaces, MCP tools, skills, memory, and cron/webhook automations. Self-hosted and transparent.

When your agent uses it

  • Tasks that involve Debugging

Example prompts

  • “OR artifactIds: [] OR summary equals”
  • “s prompt didn”
  • “Use the debugging-empty-output skill to load when a workspace job tool returns success: true, status: completed AND (summary: "" OR artifactIds: []…”
  • “/debugging-empty-output”

Workflow steps

4 steps, taken from the step headings in SKILL.md.

  1. Read aiSummary.summary from describe_session
  2. Inspect agentBlocks[].toolCalls for complete
  3. Check the agent prompt's instructions
  4. Confirm via test invocation

What it can do on your machine

Read from SKILL.md and the folder at commit fb3069a. 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

Debugging Empty Output loads about 1.1k tokens when it runs. Until then it costs about 123 tokens; SKILL.md has 452 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~123
When it runs · the whole SKILL.md, loaded when a task matches
~1.1k

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

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 452 words (~1,080 tokens).

“Symptom: session status: completed but the chat-tool wrapper got back nothing useful — empty summary, empty artifactIds, or the sentinel "Session completed without producing a summarizable document."”

— opening of SKILL.md by friday-platform, Custom licence
name
debugging-empty-output

Read the full SKILL.md on GitHub

Files

Just SKILL.md in packages/system/skills/debugging-empty-output of friday-platform/friday-studio.

Open the folder on GitHubat commit fb3069a

Compare with similar skills

Debugging Empty Output 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.

Debugging Empty Output compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Debugging Empty Output this skillfriday-platform/friday-studio104—~1.1kAutomated safety check: PassCustom licence
Trellis Session Insightmindfold-ai/Trellis15k4 repos~1.7kAutomated safety check: PassAGPL-3.0
Native Data FetchingCherryHQ/cherry-studio-app4k6 repos~2.9kAutomated safety check: NotesMIT
Aoti Debugpytorch/pytorch104k1 repos~1.7kAutomated safety check: PassCustom licence
Herdr Throwaway Reproductionherdrdev/herdr43k—~2.4kAutomated safety check: PassApache-2.0
Systematic Debuggingultralisp/ultralisp25851 repos~2.4kAutomated safety check: PassNone

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Categories

Questions about Debugging Empty Output

What does Debugging Empty Output do?

Loads when a workspace job tool returns success: true, status: completed AND (summary: "" OR artifactIds: [] OR summary equals "Session completed without producing a summarizable document"). Debugging Empty Output is an agent skill from friday-platform/friday-studio. Loads when a workspace job tool returns success: true, status: completed AND (summary: "" OR artifactIds: [] OR summary equals "Session completed without producing a summarizable document").

When should I use Debugging Empty Output?

Debugging Empty Output fits situations like: tasks that involve Debugging.

How do I install Debugging Empty Output in Claude Code?

Run `npx skills add friday-platform/friday-studio --skill debugging-empty-output -a claude-code`. Or copy the skill folder (packages/system/skills/debugging-empty-output in friday-platform/friday-studio) into .claude/skills/debugging-empty-output in your project. Claude Code loads it when a task matches its description.

How do I install Debugging Empty Output in Codex?

Run `npx skills add friday-platform/friday-studio --skill debugging-empty-output -a codex`. Or copy the skill folder (packages/system/skills/debugging-empty-output in friday-platform/friday-studio) into .agents/skills/debugging-empty-output in your project. Codex loads it when a task matches its description.

Can I use Debugging Empty Output 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 friday-platform/friday-studio --skill debugging-empty-output -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/debugging-empty-output, .gemini/skills/debugging-empty-output, .github/skills/debugging-empty-output and .opencode/skills/debugging-empty-output in your project.

What does Debugging Empty Output need to run?

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

Does Debugging Empty Output 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 Debugging Empty Output 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 Debugging Empty Output use?

Debugging Empty Output has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Debugging Empty Output use?

About 1.1k tokens (SKILL.md is roughly 4.3k 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 Debugging Empty Output?

Skills that share tags, products or a category with Debugging Empty Output: Trellis Session Insight (mindfold-ai/Trellis, 15k stars), Native Data Fetching (CherryHQ/cherry-studio-app, 4k stars), Aoti Debug (pytorch/pytorch, 104k stars) and Herdr Throwaway Reproduction (herdrdev/herdr, 43k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Debugging Empty Output?

friday-platform (a GitHub organization) maintains it in friday-platform/friday-studio, which has 104 GitHub stars. The repository holds 20 skills in this directory. The repository was last updated on September 5, 2026.

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