autospec-rollover-status

autospec-rollover-status

Read-only diagnostic skill: shows context-window usage percentage and last rollover event for the active autospec session monitor.

Manage your own context — never exceed 60%. Delegate to subagents whenever your harness supports it.

<!-- autospec-block:startup-self-update SKILL_NAME=autospec-rollover-status -->

Self-update mode

If the feature-request argument matches the regex ^\s*update\s*$ (case-insensitive, whitespace-padded), this skill enters self-update mode and does not run the normal pipeline:

1. Detect harness by checking which install path exists for this skill:
   • Claude Code: ~/.claude/skills/autospec-rollover-status/SKILL.md
   • OpenCode: ~/.config/opencode/agent/autospec-rollover-status.md
   • Codex CLI: ~/.codex/prompts/autospec-rollover-status.md
2. Re-install the full autospec suite from main by piping the canonical installer:

   curl -fsSL https://raw.githubusercontent.com/berlinguyinca/autospec/main/bootstrap.sh | bash -s -- --skill all --harness all --update
   

3. Show the diff between the prior installed file(s) and the freshly fetched copy.
4. Stop. Do not enter any pipeline phase.

If no install path is detected, print Self-update: no installed copy of autospec-rollover-status found; run install.sh first. and exit.

Invocation

/autospec-rollover-status

Runs bash skills/autospec-rollover-status/show.sh and presents the output.

Harness detection (run once at skill start)

Detect your harness by checking available tools before dispatching work:

1. Claude Code — the Agent tool with a subagent_type parameter is available.

   • TIER_A = opus + ultrathink (the alias, which resolves to the current Claude Opus generation)
   • TIER_B = sonnet (the alias, which resolves to the current Claude Sonnet generation)

2. OpenCode — a task tool with model/tier configuration is available (no subagent_type).

   • TIER_A = top-tier task model + high reasoning
   • TIER_B = smaller-tier task model + medium reasoning

3. Codex CLI — neither Agent nor a configurable task tool is available; apply_patch is the primary edit tool.

   • TIER_A = current top GPT model + reasoning_effort=high
   • TIER_B = the spark / cost-optimized variant of the configured model when one exists, else the configured model + reasoning_effort=medium

Fallback rule: If TIER_B is not available in your harness (model unknown, quota/capacity failure, authorization failure, or tool call returns an error for that model), silently retry the same dispatch with TIER_A. Preserve the parent context on retry; for Codex native subagents, fork/inherit the current conversation context and use the latest top GPT model instead of moving the work into the main session. Never ask the user.

Hold TIER_A and TIER_B for the entire skill run.

Required capabilities & harness adapter

Capability	Claude Code	OpenCode	Codex CLI	Fallback if missing
Run shell command	Bash	bash tool	shell	Ask user to run manually
Subagent model tier	Tier A: haiku — read-only, no reasoning	Tier A: smallest tier	Tier A	inline
Subagent dispatch policy	per AGENTS.md decision matrix	per AGENTS.md decision matrix	per AGENTS.md decision matrix	inline with main-session token cost

Model tier: Tier A (haiku) — pure log read, no judgment needed.

Procedure

1. Run startup self-update block above.
2. Execute bash skills/autospec-rollover-status/show.sh.
3. Present the output verbatim. If the monitors directory is missing or empty, explain that no monitor session is active and suggest running autospec-session start.
4. Stop.

Hard rules

• This skill is read-only. Never write files, labels, or GitHub state.
• Never modify log files or PID files.
• Tolerates missing log gracefully — exit 0 with a clear message.