Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add yimwoo/codex-agenteam --skill statusgit clone --depth 1 https://github.com/yimwoo/codex-agenteamWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/yimwoo/codex-agenteam/status)<a href="https://agentmods.dev/skills/yimwoo/codex-agenteam/status"><img src="https://agentmods.dev/badge/skills/yimwoo/codex-agenteam/status/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/yimwoo/codex-agenteam/status"><img src="https://agentmods.dev/badge/skills/yimwoo/codex-agenteam/status.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00020 | $0.00580 |
| Opus 5.5 | $0.00008 | $0.00232 |
| Sonnet 5.5 | $0.00004 | $0.00116 |
| Haiku 4.5 | $0.00002 | $0.00058 |
Grade A, and why
status scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 75 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AgenTeam Status
Display the current state of the team's work.
Process
1. Get Status
Use the --progress flag for a compact, human-friendly view:
python3 <runtime>/agenteam_rt.py status --progress
If the user specifically asks for raw JSON state, use without --progress:
python3 <runtime>/agenteam_rt.py status
2. Format Output
Display the progress view in a readable format:
AgenTeam Run: <run-id>
Task: <task description>
Profile: <profile or "full">
Status: <running|completed|failed|stopped>
Elapsed: <Nm Ss>
Stages:
research ✓ completed (0m 45s)
strategy ✓ completed (0m 30s)
design ✓ completed (1m 02s)
implement → verifying (1m 15s) [verify attempt 2/3]
test · pending
review · pending
Active Lock: dev
Last Event: stage_verified (implement) — fail, attempt 2
Attempt: implement-dev-a1 | thread_id: <codex-thread-id>
Last heartbeat: 12s ago | idle budget: 14m 48s remaining
Wall budget: 47m remaining | stop reason: (none)
The progress view includes elapsed times per stage, the current
verify attempt if applicable, and the most recent event for context.
When governance.adoption is present, include the high-signal governance
items in the readable status: open follow-ups/escalations, recorded tripwire
blocks or warnings, gate rejections, and criteria overrides. Do not ask the
user to inspect raw .agenteam/governance files for these summary facts.
For an active or interrupted attempt, always include thread_id (or
"unavailable"), last heartbeat and age, idle budget and wall budget remaining,
attempt/retry counts, PID liveness when known, and stop reason. Treat a stale
heartbeat as AT RISK, not as proof that the role failed.
3. No Active Run
If no run is found, show:
- Team config status (does
.agenteam/config.yamlor legacyagenteam.yamlexist?) - Available roles
- Suggestion: "Use
$ateam:runto start a new task."
Symbols
✓— completed→— in progress·— pending✗— failed/blocked
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 75 lines · 20 tokens per session scan A 74b5808963f3
status is a skill published in the GitHub repository yimwoo/codex-agenteam (14 stars, last pushed 3mo ago), licensed MIT. It adds 20 tokens to every session and 580 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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launch
Planning releases and reporting delivery work from GitHub PR history. Use when versioning, CHANGELOGs, rollout or rollback plans, engineering metrics, retrospectives, or stakeholder reports are needed.
pdm
Navigating delivery status read-only: reconciles planned scope (specs/roadmap/PRD) against implemented code for what's built vs left. Not for priority scoring (Rank) or AC conformance (Attest).
sherpa
Guiding workflows by decomposing complex tasks (Epics) into Atomic Steps under 15 minutes each, with progress tracking and drift prevention. Use when complex decomposition is needed.
rank
Quantifying priority by scoring competing items with ICE/RICE/WSJF/MoSCoW/Cost of Delay/Kano. No code. Use to prioritize features/bugs/initiatives or arbitrate Must vs Should at MVP scoping.