Harness Loop
Chachamaru127/claude-code-harness
Starts a background runner that works through ready batches of tasks from Plans.md one cycle at a time via Breezing, with status and stop controls.
Runs a whole project unattended on an agtx kanban board, decomposing the goal, starting tasks, unblocking workers and merging each result.
$ npx skills add fynnfluegge/agtx --skill agtx-oneshot -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install fynnfluegge/agtx agtx-oneshot --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/fynnfluegge/agtx.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/oneshot .claude/skills/agtx-oneshot && rm -rf skills-srcUse ~/.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/
Install the "agtx-oneshot" agent skill from https://github.com/fynnfluegge/agtx/tree/main/skills/oneshot into .claude/skills/agtx-oneshot/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agtx-oneshot", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/fynnfluegge/agtx/tree/main/skills/oneshotType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add fynnfluegge/agtx --skill agtx-oneshot -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install fynnfluegge/agtx agtx-oneshot --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/fynnfluegge/agtx.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/oneshot .agents/skills/agtx-oneshot && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "agtx-oneshot" agent skill from https://github.com/fynnfluegge/agtx/tree/main/skills/oneshot into .agents/skills/agtx-oneshot/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agtx-oneshot", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add fynnfluegge/agtx --skill agtx-oneshot -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install fynnfluegge/agtx agtx-oneshot --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/fynnfluegge/agtx.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/oneshot .cursor/skills/agtx-oneshot && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "agtx-oneshot" agent skill from https://github.com/fynnfluegge/agtx/tree/main/skills/oneshot into .cursor/skills/agtx-oneshot/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agtx-oneshot", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/fynnfluegge/agtx.git --path skills/oneshot--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add fynnfluegge/agtx --skill agtx-oneshot -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install fynnfluegge/agtx agtx-oneshot --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/fynnfluegge/agtx.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/oneshot .gemini/skills/agtx-oneshot && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "agtx-oneshot" agent skill from https://github.com/fynnfluegge/agtx/tree/main/skills/oneshot into .gemini/skills/agtx-oneshot/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agtx-oneshot", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install fynnfluegge/agtx agtx-oneshotInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add fynnfluegge/agtx --skill agtx-oneshot -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/fynnfluegge/agtx.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/oneshot .github/skills/agtx-oneshot && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "agtx-oneshot" agent skill from https://github.com/fynnfluegge/agtx/tree/main/skills/oneshot into .github/skills/agtx-oneshot/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agtx-oneshot", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add fynnfluegge/agtx --skill agtx-oneshot -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install fynnfluegge/agtx agtx-oneshot --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/fynnfluegge/agtx.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/oneshot .opencode/skills/agtx-oneshot && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "agtx-oneshot" agent skill from https://github.com/fynnfluegge/agtx/tree/main/skills/oneshot into .opencode/skills/agtx-oneshot/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agtx-oneshot", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
agtx-oneshotRuns a whole project unattended on an agtx kanban board, decomposing the goal, starting tasks, unblocking workers and merging each result.
The agent takes over all five board columns (Backlog, Planning, Running, Review and Done) that a person would normally manage, unlike the built-in orchestrator, which only advances Planning to Review. It decomposes the goal into tasks, decides what starts, watches the workers, unblocks them, judges Review and merges, while the workers do the coding and the agent never writes feature code itself.
Before starting it verifies the board is live: it lists projects to get the project ID, checks that the agtx TUI is connected because nothing executes without it, confirms auto_trust is on through the get_config tool rather than reading the config file, and has you open the coding agent once in the project root to accept its trust prompt. Without those checks, tasks park as Blocked waiting for a human. The MCP server is registered with claude mcp add.
2 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 8ae6868. It shows what the files ask for, not the result of running them.
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.
Shell commands in SKILL.md call:
claudegitFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use git, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
agtx One-Shot Project Runner loads about 3.8k tokens when it runs. Until then it costs about 55 tokens; SKILL.md has 2,172 words of instructions outside code blocks.
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.
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.
The full file from fynnfluegge/agtx at commit 8ae6868, republished under its Apache-2.0 licence (© fynnfluegge). 2,172 words, ~3,785 tokens.
.claude/skills/agtx-oneshot/SKILL.md (or your agent's skills folder).You are one-shotting a project on an agtx kanban board: a goal too large for one session, run to completion unattended. Ordinarily a person sits at the board and does this. Here, you are that person.
This is not the built-in orchestrator (O), which only advances Planning → Running →
Review and refuses to touch Backlog. You own all five columns: you decompose the
goal into tasks, decide what starts, watch the workers, unblock them, judge Review, and
merge. The workers do the coding; you never write feature code yourself.
Backlog → Planning → Running → Review → Done
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
all of it is yoursNothing you do executes unless the agtx TUI is running. move_task writes a row to
a queue; the TUI drains it and performs the real work — worktree creation, agent spawn,
skill deployment. With no TUI, every transition sits pending forever and the board looks
frozen for no visible reason.
list_projects and take the project_id of this project; pass it to every other
agtx tool. If the MCP server does not answer, tell the user to register it and stop:claude mcp add --scope user agtx -- agtx mcp-serveagtx in the project root, which is needed anyway (below). Then call list_tasks.tui_connected in that response. If it is false, no TUI is draining the
queue — ask the user to open agtx in another terminal on this project, and do not
queue anything into a dead board.Also confirm before a long unattended run:
get_config and check auto_trust. It must be true, or agents' trust and
bypass-permission dialogs are detected but left unanswered and every task parks as
Blocked waiting for a human who is not there. Use the tool — do not read
~/.config/agtx/config.toml yourself: AGTX_CONFIG_DIR relocates that file, so the path
is not authoritative and you will get a stale answer. get_config also tells you which
file to edit. auto_trust is global-only, so a project config cannot turn it on.1. allowed_actions is not written for you. get_task computes that field for the
built-in orchestrator, which is forbidden from triaging Backlog — so it comes back empty
for every Backlog task. Ignore it. move_task itself does not enforce it: research,
move_to_planning, move_to_running, move_forward, move_to_review, move_to_done
and resume all work from here. The only real gate is dependencies (below).
2. No notifications reach you. get_notifications only fills when the built-in
orchestrator is running. Assume it returns nothing. wait_for_board_change is your whole
feedback loop (see The loop).
3. Read phase_status against phase_age_secs, never alone. list_tasks and
get_task both carry the board's own verdict on each task:
phase_status | Meaning |
|---|---|
working | The agent is producing output. Leave it alone. |
ready | The phase artifact was written this phase and the agent's turn is over — the phase is complete. Advance it. |
blocked | The agent reported it is waiting on a human. |
idle | No output for 15s. A guess, not a report. |
exited | The tmux window is gone. |
tui_connected decides whether any of that is current. list_tasks and
wait_for_board_change both carry it. When it is false, nothing is executing transitions and
every phase_status is frozen at whatever was last observed — stop and tell the user;
do not read those rows as task state. A task can show blocked while its agent works
normally, purely because the TUI has exited.
phase_age_secs is the corroborating detail: the board republishes every live task on
every pass, so a small age means "seen just now". Check tui_connected first — it is the
direct answer; age is the symptom.
Two other signals, for when you need more than the verdict:
| Signal | How | Use |
|---|---|---|
agent_state | get_task, hook-reported | blocked_reason names the exact prompt the agent is waiting on |
read_pane_content | last N lines of the pane | Ground truth, but costs context — diagnose with it, never poll with it |
Artifact files are the fallback if phase_status is absent. For the default agtx
plugin, relative to worktree_path: .agtx/research.md, .agtx/plan.md,
.agtx/execute.md, .agtx/review.md. Other plugins declare their own under
[artifacts] in plugins/<name>/plugin.toml.
4. Starting tasks is serialized, and that is fine. Worktree setup runs one at a
time. Queue as many move_to_planning calls as you like in one pass — they line up and
drain in order. A start waiting for the slot has simply not resolved yet. You do not need
to poll get_transition_status: wait_for_board_change reports the outcome of every
move you queued in its transitions list, and wakes you if one fails. Only an error
means it will not happen.
A goal this size cannot be enumerated up front, and trying wastes the run. Work in waves.
oneshot-state.md (below).
Nothing goes on the board yet.create_tasks_batch takes up to 50 and wires
dependencies by 0-based index into the same array (no forward references).Task quality decides whether the run survives:
create_tasks_batch({
"tasks": [
{ "title": "Add entity component store", "description": "..." },
{ "title": "Add physics step over the store", "description": "...", "depends_on": [0] },
{ "title": "Add render pass over the store", "description": "...", "depends_on": [0] }
]
})Keep 3–6 tasks running at once. More than that and you cannot actually supervise them, and the machine starts thrashing on parallel agent sessions.
Call wait_for_board_change, act on what it returns, and call it again. It blocks
inside the server until something needs you, then returns only the tasks that changed
since you last looked. The first call returns the whole board.
Do not sleep and re-list instead. Every poll is a turn, and every turn re-reads your
entire context — so a run's cost is set by how many turns it takes far more than by what
any one call returns. A task starting to work does not wake the wait; you hear about a
task when it needs you.
Each time it returns:
tui_connected: false → the TUI is gone and every phase_status is frozen. Stop and
say so rather than acting on it.transitions → the outcome of each move you queued. An error is the one failure
nothing else on the board shows; read it and act on it (see Review and merge for
merge refusals and conflicts).tasks:ready in Planning or Running → move_task with move_forward.ready in Review → judge it (below).blocked → get_task for blocked_reason. A permission or trust prompt is a
config problem (auto_trust), not something to answer by typing into the pane —
surface it to the user. A question: see Answering questions below.idle → read_pane_content, then act on what you see. For an agent without hooks
idle is a guess from pane output, so confirm before nudging.exited → the session died. resume it, or investigate before restarting.done → record it; its dependents may now start.deps_satisfied → start it if it fits the concurrency budget —
move_to_planning. Starts serialize on their own.oneshot-state.md, then wait again.timed_out: true means nothing needed you — wait again. It is not a reason to inspect
every task.
Keep the board in oneshot-state.md, not in your head. The wait tells you what
changed; the state file is what you apply it to. When your context has been compacted,
or you are picking up a run, call list_tasks once to re-sync — it leaves descriptions
out, and get_task has the full task when you need one. A session that has memorised a
stale board makes confident wrong moves.
Maintain oneshot-state.md in the project root. It is what a fresh session reads to pick
up the run:
# Oneshot state — <goal>
Updated: <timestamp>
## Milestones
- [x] M1 core loop
- [ ] M2 world streaming ← current wave
- [ ] M3 ...
## Board
| id | title | status | notes |
|----|-------|--------|-------|
| a1b2c3 | Add entity component store | Done | merged |
| d4e5f6 | Add physics step | Running | nudged once, was idle |
## Decisions
- Physics runs fixed-step at 60Hz; renderer interpolates. (M1, task a1b2c3)
## Open questions for the user
- (none)Rewrite the Board table each pass; append to Decisions and Open questions. Decisions are what stop later tasks contradicting earlier ones.
Review is where an unattended run quietly produces garbage, so spend your judgment here rather than on scheduling.
Read the diff (git -C <worktree_path> diff <base>...HEAD). Ask only: does this do
what the task said, and does it break the milestone spine? You are not doing a
line-level code review — the Review phase agent does that.
If it is wrong, decide how wrong before acting. Small fixes go to the reviewer in
place; resume is only for real rework.
send_to_task while the task stays in Review. Say exactly
what to change, and to commit and update .agtx/review.md when done. The reviewer
makes it where it is: no transition, no second execute cycle. Its turn restarts, so
phase_status reads working until it has finished; wait for ready, re-read the
diff, then merge.resume the task, then send_to_task the correction. resume
puts the task back in Running, so when the agent is done you must move_forward to
Review again before you can merge; merging straight after a resume is refused.Either way, act only once the agent has stopped. ready means that for an agent with
hooks; for one without, read the pane first. An agent writes review.md and keeps
working after it, and a message sent into a turn that has not ended lands in a busy
pane. Vague feedback produces another wrong attempt, in either lane.
Land it with move_to_done_and_merge. This merges the branch into its base in the
project checkout and then moves the task to Done. Plain move_to_done keeps the branch
and merges nothing — use it only if you are integrating some other way, otherwise you
finish the run with N parallel branches and an empty base branch.
On conflict the task stays in Review and its own agent is sent
/agtx:merge-conflicts automatically, with the conflicting files named. The
transition reports an error saying so. Do not retry immediately and do not try to
resolve it yourself — wait for that task to go ready again, then call
move_to_done_and_merge a second time.
A refusal is about the project checkout, not the branch. "on X, not the base branch" or "has uncommitted changes" means someone left the project root dirty or on another branch. Nothing was changed. Tell the user — you must not switch their branch or stash their work to get around it.
move_to_done is refused while the worktree has uncommitted changes. Different
error, different fix: send_to_task telling the agent to commit, then retry. Do not
queue it repeatedly; it will keep failing.
Merges are serialized with everything else the board does, so several tasks reaching Done in one pass is safe.
When a worker asks something, classify before acting:
send_to_task it.If the same task goes idle twice after you nudged it, stop nudging. Escalate to the user or delete and rewrite the task with a better description.
oneshot-state.md.wait_for_board_change, never with sleep. Use list_tasks to
re-sync after a gap, never to poll.allowed_actions; respect dependency refusals.phase_age_secs
climbs across the whole board, say so and stop.© fynnfluegge, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in skills/oneshot of fynnfluegge/agtx.
Open the folder on GitHubat commit 8ae6868
agtx One-Shot Project Runner 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| agtx One-Shot Project Runner this skillfynnfluegge/agtx | 1.7k | — | ~3.8k | Automated safety check: Pass | Apache-2.0 | |
| Harness LoopChachamaru127/claude-code-harness | 3.2k | — | ~2.2k | Automated safety check: Notes | MIT | |
| MemPalace Task HandoffMemPalace/mempalace | 60k | — | ~1.9k | Automated safety check: Pass | MIT | |
| OMA Multi-Agent Orchestratorfirst-fluke/oh-my-agent | 1.3k | — | ~3.1k | Automated safety check: Pass | MIT | |
| Cursor Orchestratecursor/plugins | 11k | — | ~1.1k | Automated safety check: Pass | None | |
| Hermes Mission ControlTh0rgal/sandboxed.sh | 524 | — | ~8.6k | Automated safety check: Pass | None |
Chachamaru127/claude-code-harness
Starts a background runner that works through ready batches of tasks from Plans.md one cycle at a time via Breezing, with status and stop controls.
MemPalace/mempalace
Creates, hands off, claims, executes and closes agent tasks through the MemPalace logstream, with approval of the exact task before it is recorded.
first-fluke/oh-my-agent
Splits a complex feature into prioritized tasks, spawns specialist CLI subagents in parallel, tracks them through shared memory and verifies each result.
cursor/plugins
Splits a large goal into a tree of parallel Cursor cloud agents, with planners, workers and verifiers coordinated by a script and reporting through structured handoffs.
Th0rgal/sandboxed.sh
Teaches Hermes to monitor and steer long-running sandboxed.sh missions: spot where a model is stuck, switch backends or models between turns, and send targeted hints.
open-gsd/gsd-core
Runs several small /gsd-quick tasks as one batch, with a single coordinator that plans them, dispatches workers per item and owns all shared writes and worktree merges.
fynnfluegge/agtx
Breaks a conversation's results into feature-level tasks and pushes them to the agtx kanban board, where each task gets its own worktree and agent session.
fynnfluegge/agtx
Carries out an approved plan for an agtx-managed task: implements the changes, runs tests, commits, writes a summary to .agtx/execute.md and then stops.
fynnfluegge/agtx
Analyzes the codebase for an agtx task, writes a plan with analysis, steps and risks to .agtx/plan.md, then stops and waits for approval before any change.
fynnfluegge/agtx
Explore the codebase to understand a task before planning. An agent skill from fynnfluegge/agtx.
fynnfluegge/agtx
Puts the agent in a discussion-only mode for exploring a feature idea, asking questions and probing trade-offs without planning or writing code.
fynnfluegge/agtx
Self-reviews completed work in an agtx-managed task for correctness, edge cases and code quality, fixes issues, commits and writes .agtx/review.md with a status.
Works with
Categories
Runs a whole project unattended on an agtx kanban board, decomposing the goal, starting tasks, unblocking workers and merging each result. The agent takes over all five board columns (Backlog, Planning, Running, Review and Done) that a person would normally manage, unlike the built-in orchestrator, which only advances Planning to Review. It decomposes the goal into tasks, decides what starts, watches the workers, unblocks them, judges Review and merges, while the workers do the coding and the agent never writes feature code itself.
agtx One-Shot Project Runner fits situations like: running a large goal to completion unattended on an agtx board; breaking a project into board tasks and merging each finished one; unblocking stuck workers during a long autonomous run.
Run `npx skills add fynnfluegge/agtx --skill agtx-oneshot -a claude-code`. Or copy the skill folder (skills/oneshot in fynnfluegge/agtx) into .claude/skills/agtx-oneshot in your project. Claude Code loads it when a task matches its description.
Run `npx skills add fynnfluegge/agtx --skill agtx-oneshot -a codex`. Or copy the skill folder (skills/oneshot in fynnfluegge/agtx) into .agents/skills/agtx-oneshot in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add fynnfluegge/agtx --skill agtx-oneshot -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/agtx-oneshot, .gemini/skills/agtx-oneshot, .github/skills/agtx-oneshot and .opencode/skills/agtx-oneshot in your project.
Going by SKILL.md and its folder, agtx One-Shot Project Runner needs the command-line tools its instructions call (claude and git). Our summary lists: The agtx TUI running on the project; The agtx MCP server registered with your agent; auto_trust enabled in the global agtx config.
SKILL.md contains no URLs. Its commands use git, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
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.
agtx One-Shot Project Runner is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 3.8k tokens (SKILL.md is roughly 15k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with agtx One-Shot Project Runner: Harness Loop (Chachamaru127/claude-code-harness, 3.2k stars), MemPalace Task Handoff (MemPalace/mempalace, 60k stars), OMA Multi-Agent Orchestrator (first-fluke/oh-my-agent, 1.3k stars) and Cursor Orchestrate (cursor/plugins, 11k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
fynnfluegge (a GitHub user) maintains it in fynnfluegge/agtx, which has 1,713 GitHub stars. The repository holds 7 skills in this directory. The repository was last updated on October 2, 2026.
Source: fynnfluegge/agtx on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.