sstraus/tuicommander/terminal-stress

Claude Code and agent skill by sstraus/tuicommander

Trust tier 3
  • community
Source check pending

Checking that the SKILL.md file is still in the repository.

Diagnose and reproduce TUICommander terminal truncation, duplicated history, missing output, Claude/Ink full-frame repaint pollution, slash-parser pressure, and false busy/idle reports. Use when a live tab looks corrupted, rows appear partial or duplicated, an agent is marked idle while working, or terminal integrity changes need repeatable PTY stress validation.

Install

npx vskill@latest install sstraus/tuicommander/terminal-stress

SKILL.md

Diagnose terminal integrity

Treat raw PTY bytes, canonical grid rows, clean log output, agent transcript, and lifecycle state as separate evidence. Never call a visual anomaly database corruption until those layers have been compared.

Isolate the host clipboard before UI testing

A named app instance and browser session do not isolate the operating system clipboard. Terminal selection can copy immediately, without a separate Copy command. Before selection/copy/paste E2E, intercept or deny clipboard access in the test browser and verify the interception; assert copied text inside that isolated capture. Do not select text in a test terminal before this is in place. Do not save/restore the host clipboard as a substitute: the user may change it concurrently. Browser screenshots and PTY/HTTP reads do not require clipboard access.

Preserve volatile evidence first

  1. Identify the exact session and confirm its cwd/display name.
  2. Capture the raw ring before making additional requests; it rotates under

sustained output.

  1. Capture dimensions and canonical rows immediately afterwards.
  2. Record lifecycle fields (shell_state, agent_state, background work, and

current task) at the same time.

  1. Read logs and transcripts only after the volatile terminal evidence is safe.

Use the repository capture helper:

bash
python3 tests/terminal-stress/capture.py \
--session SESSION_ID \
--base-url http://127.0.0.1:9876 \
-o /tmp/tuic-terminal-capture

Port 9876 is the live orchestrator. Use it only for read-only capture of the session Boss identified. Never run synthetic workloads or create throwaway sessions there.

The capture must contain:

  • raw.bin: pre-transform PTY bytes from the flight recorder.
  • canonical.txt: rows returned by the backend grid.
  • meta.json: dimensions, row range, scroll state, and capture time.

Do not commit an unsanitized live capture. It may contain prompts, paths, credentials, or repository data.

Compare the layers

Use a distinctive visible string such as a banner, table header, or allegedly duplicated sentence. Count it independently in raw bytes and canonical rows.

EvidenceInterpretation
grid count exceeds raw countInvestigate duplication, accounting for redraws and the raw-ring retention window
grid count equals raw countCounts agree only; compare complete rows and ordering before claiming integrity
raw contains data absent from gridReplay erasure/overwrite and history eviction before classifying unintended loss
transcript is complete but terminal is partialLoss is downstream of the transcript; raw replay must distinguish agent TUI output from terminal handling
transcript and raw are both incompleteAgent/process stopped before emitting data

Do not deduplicate terminal history merely because adjacent rows share a prefix. A carriage return cannot rewrite a row after output has pushed it into scrollback. Removing that row would discard legitimate output.

For Claude/Ink, specifically search for this sequence:

  1. Enough CRLF output to push the current frame into normal scrollback.
  2. ESC[H to move home.
  3. Per-row ESC[2K erases.
  4. A full frame reprint beginning with the welcome banner.

If raw and grid contain the same banner copies and exact replay reproduces those copies, attribute that duplication to Ink full-frame repaint output. Matching counts alone do not rule out other terminal defects. The ink-banner-dup-raw-ring-2026-07-06 MDKB entry contains two real confirmations.

Replay a live capture offline

Replay the exact bytes through the same terminal parser at fixed captured dimensions:

bash
TUIC_REPLAY_FILE=/tmp/tuic-terminal-capture/raw.bin \
TUIC_REPLAY_ROWS=33 \
TUIC_REPLAY_COLS=146 \
TUIC_REPLAY_CHUNK=4096 \
TUIC_REPLAY_OUT=/tmp/tuic-terminal-replay.txt \
cargo test --manifest-path src-tauri/Cargo.toml --lib \
replay_capture_from_env -- --ignored --nocapture

Replace rows and columns with meta.json values. Compare replay rows with the captured canonical rows exactly, not by screenshot. A fixed-size replay that reproduces the anomaly rules out live resize scheduling and frontend frame delivery as necessary causes.

Check claimed data loss

Inspect the agent's authoritative transcript after raw/grid comparison. For Claude, locate the active JSONL under:

text
~/.claude/projects/<encoded-cwd>/<session-id>.jsonl

Distinguish intermediate tool-use messages from the final assistant message. A partial table followed by tool calls and a later complete final table is not model-data loss, even when Ink's repaint makes the terminal history misleading.

Check busy/idle independently

Do not infer lifecycle correctness from the visible output alone. Capture and compare:

  • backend shell_state;
  • parsed agent_state;
  • background-work evidence;
  • current task/status text;
  • screen movement across consecutive snapshots;
  • hook or transcript evidence when available.

Use the sanitized fixtures in fixtures/ for lifecycle parser regressions. Keep false-idle diagnosis separate from history integrity: both can occur under load, but one does not prove the other.

When Codex shows both Working (... esc to interrupt) and a persistent Goal achieved footer, treat movement of the Working row as current activity. The goal footer describes goal bookkeeping, not the current PTY execution cycle. Use fixtures/codex-completed-internal-working.txt for this regression.

Evaluate logging pressure separately

Thousands of slash_menu parse DEBUG lines can add CPU, allocation, and log I/O pressure. They are not proof of terminal corruption. If a fixed offline raw replay reproduces the visual anomaly without application logging, the log storm is not a necessary cause of that anomaly. Retain it as a separate performance investigation.

Enable runtime diagnostics during a load reproduction when performance is part of the report:

bash
curl -X POST http://127.0.0.1:9876/diagnostics \
-H 'Content-Type: application/json' \
-d '{"enabled":true}'
curl 'http://127.0.0.1:9876/logs?source=diagnostics'

Correlate timestamps with CPU, child CPU, threads, file descriptors, session count, stuck grid frames, and event-bus subscribers.

Run the synthetic suite safely

Test worktree changes only through the test instance HTTP API. The TUICommander MCP and port 9876 target the orchestrator build and do not validate worktree changes.

With a test desktop instance already running on 9877:

bash
python3 tests/terminal-stress/run.py \
--base-url http://127.0.0.1:9877 \
--scenario all \
--count 2000

Run the exact Claude/Ink provenance case with:

bash
python3 tests/terminal-stress/run.py \
--base-url http://127.0.0.1:9877 \
--scenario ink-repaint \
--count 2000

For full isolation, build the headless binary and give it a temporary home:

bash
cargo build --manifest-path src-tauri/Cargo.toml \
--no-default-features --bin tuic-remote
export TUIC_STRESS_HOME=/tmp/tuic-stress-home
mkdir -p "$TUIC_STRESS_HOME"
printf 'stress\nstresspass\n' | \
HOME="$TUIC_STRESS_HOME" \
src-tauri/target/debug/tuic-remote --set-password
HOME="$TUIC_STRESS_HOME" TUIC_PORT=9879 \
src-tauri/target/debug/tuic-remote

In another shell:

bash
python3 tests/terminal-stress/run.py \
--base-url http://127.0.0.1:9879 \
--auth stress:stresspass \
--scenario all \
--count 2000

Stop the headless instance and remove only the explicit temporary directory after the run. The runner creates and deletes a throwaway PTY session in a finally block.

Interpret the synthetic scenarios

  • atomic: split-byte synchronized updates must yield one complete copy.
  • progressive: visible partial frames must be replaced without preservation.
  • timeout: synchronized-update timeout must not retain a partial row.
  • reflow: deliberately committed partial and complete rows must both remain;

the grid must not manufacture another complete copy.

  • scrollout: report orphaned live partials pushed beyond carriage-return

reach; never silently delete them.

  • slash-pressure: exercise slash parsing under fragmented sustained output.
  • ink-repaint: emit four full tall-frame repaints; require every canonical

copy to have raw provenance and require no expected record to disappear.

Treat every failure as evidence. Do not weaken an invariant to make the suite green. If the original invariant was technically wrong, document why terminal semantics require changing it, then encode the corrected invariant.

Add a new regression

  1. Add deterministic producer behavior to producer.py.
  2. Add a scenario-specific verifier to run.py.
  3. Assert the correct layer boundary: raw emission, canonical retention,

lifecycle classification, or transport delivery.

  1. Add the scenario to all only when it is safe and bounded at the default

count.

  1. Document the invariant in README.md and this skill when it changes the

diagnostic process.

  1. Run Python syntax validation and the scenario at a small count.
  2. Run the scenario at the default count of 2,000 on an isolated instance.
  3. Run git diff --check.

Sanitize committed fixtures. Keep only synthetic payloads and the minimum terminal metadata required to reproduce the behavior.

Record conclusions

Search MDKB before writing memory. Update an existing entry when the new evidence confirms the same failure class. Record:

  • symptom and exact session context;
  • raw byte length and captured dimensions;
  • raw/grid occurrence counts;
  • offline replay equality or first difference;
  • transcript completeness;
  • required and ruled-out causes;
  • synthetic scenario that preserves the regression.

Never create competing memories for the same root cause.

Generated ANSI matrix

Use ansi_integrity.py for ordered-pair and seeded-sequence coverage with concurrent scroll requests. Follow the setup, oracle policies, artifact format, and coverage boundaries in README.md → "Generated ANSI integrity matrix". It compares complete canonical and binary styled rows, not occurrence counts. A mismatch stays a failure until classified; consult a second emulator with check_xterm.cjs when cursor semantics differ. Raw occurrence counts alone do not prove equality: legitimate erase/overwrite can remove emitted text, and identical counts can hide reordered rows. Never claim GPU or browser coverage from this HTTP suite. Run the separately controlled legacy producer for concurrent resize, progressive output, and synchronized-update timeout cases.

Security

  • Security scanPassed, 95 of 100Pattern checks on the skill's files.
  • Model reviewPassed

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

Repository stars
121
Repository forks
19
7-day trend score
24

Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.

Works with

Any agent vskill installs to: 56 targets in all. These 39 have a page on this site.

  • Claude Code
  • Cursor
  • GitHub Copilot
  • Windsurf
  • Codex
  • Gemini CLI
  • Cline
  • Amp
  • Roo Code
  • Goose
  • Continue
  • Kilo Code
  • Junie
  • Trae
  • OpenHands
  • Qwen Code
  • AI Agent
  • Tabnine Chat
  • Sourcegraph Cody
  • Amazon Q
  • Firebase Genkit
  • Sweep
  • Devin
  • Phind
  • Mentat
  • Claude Desktop
  • Aider
  • GPT Pilot
  • Plandex
  • bolt.new
  • v0
  • Replit Agent
  • Anse
  • TypingMind
  • BetterChatGPT
  • LibreChat
  • Warp AI
  • Pieces
  • Fig AI
Embed badge
vskill VERIFIED badge
[![vskill VERIFIED](https://verified-skill.com/api/v1/skills/sstraus/tuicommander/terminal-stress/badge)](https://verified-skill.com/skills/sstraus/tuicommander/terminal-stress)

Something wrong with this skill or its page? Tell us.