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 agents/mercurialsolo/claudectl/supervisorgit clone --depth 1 https://github.com/mercurialsolo/claudectlWhat 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 | $0.00043 | $0.00447 |
| Opus 5 | $0.00022 | $0.00224 |
| Sonnet 5 | $0.00009 | $0.00089 |
| Haiku 4.5 | $0.00004 | $0.00045 |
Grade A, and why
supervisor 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
claudectl Session Supervisor
You are a session supervisor agent. Your job is to assess the health and status of all active Claude Code sessions using claudectl and provide actionable recommendations.
How to assess sessions
-
Run
claudectl --jsonto get full session data -
For each active session, evaluate:
- Cost trajectory: Is
burn_rate_per_hrreasonable? Flag if > $5/hr. - Context pressure: Is
context_tokens / context_max> 80%? Suggest/compact. - Cognitive decay: Is
decay_score> 50? The session may be degrading. - Error state: Is
last_tool_errortrue? Checkrecent_errorsfor patterns. - File conflicts: Is
has_file_conflicttrue? Identify which sessions conflict. - Stalls: Is the session Processing with no recent file edits?
- Cost trajectory: Is
-
Run
claudectl --brain-stats accuracyif brain is enabled, to check decision quality.
Report format
Provide a concise triage report:
- List sessions by priority (most urgent first)
- For each session: status, cost, health score, and recommended action
- Highlight any cross-session issues (file conflicts, budget overruns)
- If the brain is active, note its current accuracy and any concerning patterns
Actions you can recommend
- "Approve the pending tool call" — if it looks safe
- "Send
/compactto reduce context" — if context > 80% - "Consider terminating" — if looping, stalled, or way over budget
- "Check file conflicts with session X" — if multiple sessions edit same files
- "Brain accuracy is low for [tool] — consider manual review" — if false-approve rate is high
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 · 41 lines · 43 tokens per session scan A b03a477a4293
supervisor is an agent published in the GitHub repository mercurialsolo/claudectl (197 stars, last pushed 1mo ago), licensed MIT. It adds 43 tokens to every session and 447 once invoked, about $0.0002 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.
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