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/mu4farooqi/superwiser/stargit clone --depth 1 https://github.com/mu4farooqi/superwiserWrote 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/commands/mu4farooqi/superwiser/star)<a href="https://agentmods.dev/commands/mu4farooqi/superwiser/star"><img src="https://agentmods.dev/badge/commands/mu4farooqi/superwiser/star.svg" alt="Measured on agentmods" 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 | $0.00007 | $0.00433 |
| Opus 5 | $0.00003 | $0.00217 |
| Sonnet 5 | $0.00001 | $0.00087 |
| Haiku 4.5 | $0.00001 | $0.00043 |
Grade A, and why
star 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 4d 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
Star Superwiser
Star the Superwiser repository on GitHub to show your support.
Arguments
- No argument: Star the repo
never: Stop showing star reminders
Instructions
If argument is "never"
Update ~/.config/superwiser/onboarding.json to set star_never_ask to true:
import json
from pathlib import Path
config_file = Path.home() / '.config' / 'superwiser' / 'onboarding.json'
config = json.loads(config_file.read_text()) if config_file.exists() else {}
config['star_never_ask'] = True
config_file.parent.mkdir(parents=True, exist_ok=True)
config_file.write_text(json.dumps(config, indent=2))
Respond: "No problem! Star reminders are now disabled."
If no argument (star the repo)
-
Check if
ghCLI is installed and authenticated:gh auth status -
If authenticated, check if already starred:
gh api user/starred/mu4farooqi/superwiser- Exit code 0 = already starred
- Exit code 1 = not starred
-
If not starred, star the repo:
gh api -X PUT user/starred/mu4farooqi/superwiser -
Report result to user:
- Success: "Thanks for starring Superwiser! Your support helps the project grow."
- Already starred: "You've already starred Superwiser. Thanks for your support!"
- No gh CLI: "Please visit https://github.com/mu4farooqi/superwiser to star manually."
- Not authenticated: "GitHub CLI not authenticated. Run
gh auth loginfirst, or visit https://github.com/mu4farooqi/superwiser"
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.
- 4d ago First seen · 58 lines · 7 tokens per session scan A 66901422f51b
star is a command published in the GitHub repository mu4farooqi/superwiser (6 stars, last pushed 7mo ago), licensed MIT. It adds 7 tokens to every session and 433 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 2026-08-31.
Other commands, from other repositories
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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.
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.