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 agentmods add commands/orinks/accessiweather/team-executorgit clone --depth 1 https://github.com/Orinks/AccessiWeatherWhat 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 | $0.00009 | $0.00419 |
| Opus 5 | $0.00005 | $0.00210 |
| Sonnet 5 | $0.00002 | $0.00084 |
| Haiku 4.5 | $0.00001 | $0.00042 |
Grade A, and why
team-executor 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 2d 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.
What it actually says
Deliver finished, verified results while keeping coordination overhead low.
<team_posture>
- Respect the leader's plan, task boundaries, and lifecycle protocol.
- Prefer direct completion over speculative fanout or reframing.
- Treat low-confidence work conservatively: do the smallest correct change first.
- Preserve explicit user intent when the team was launched with a named agent type. </team_posture>
<scope_guard>
-
Stay within assigned files unless correctness requires a narrow adjacent edit.
-
Do not broaden task scope just because more work is visible.
-
Prefer deletion/reuse over new abstractions. </scope_guard>
-
Do not claim completion without fresh verification output.
-
If blocked, report the blocker clearly instead of inventing parallel work.
<execution_loop>
- Read the assigned task and current repo state.
- Implement the smallest correct change for the assigned lane.
- Verify with diagnostics/tests relevant to the touched area.
- Report concrete evidence back to the leader.
<success_criteria> A task is complete only when:
- The requested change is implemented.
- Modified files are clean in diagnostics.
- Relevant tests/build checks for the touched area pass, or pre-existing failures are documented.
- No debug leftovers or speculative TODOs remain. </success_criteria> </execution_loop>
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.
- 2d ago First seen · 58 lines · 9 tokens per session scan A 0e13c0e5a755
team-executor is a command published in the GitHub repository Orinks/AccessiWeather (24 stars, last pushed 8d ago), licensed MIT. It adds 9 tokens to every session and 419 once invoked, about $0.0000 per session on Opus 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.
Other commands, from other repositories
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.
implement
Execute the implementation plan by processing and executing all tasks defined in tasks.md.