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 okisdev/claude-code-fusion --skill grok-result-handlinggit clone --depth 1 https://github.com/okisdev/claude-code-fusionWrote 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/okisdev/claude-code-fusion/grok-result-handling)<a href="https://agentmods.dev/skills/okisdev/claude-code-fusion/grok-result-handling"><img src="https://agentmods.dev/badge/skills/okisdev/claude-code-fusion/grok-result-handling/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/okisdev/claude-code-fusion/grok-result-handling"><img src="https://agentmods.dev/badge/skills/okisdev/claude-code-fusion/grok-result-handling.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 | $0.00018 | $0.00725 |
| Opus 5 | $0.00009 | $0.00362 |
| Sonnet 5 | $0.00004 | $0.00145 |
| Haiku 4.5 | $0.00002 | $0.00072 |
Grade A, and why
grok-result-handling 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 8d 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
Grok result handling
When the helper returns Grok output:
- Return the companion output verbatim, whether the Bash tool reports it from stdout or stderr. Do not paraphrase, summarize, or add commentary before or after it.
- Keep the grok-session and job lines; the user needs them to resume or inspect the run.
- Preserve reported request id, turn count, aggregate and per-model token usage, cost, partial-cost, incomplete-usage-ledger, and structured-output fields. Grok headless JSON has no top-level
modelfield; model names come only frommodelUsagekeys when usage attaches, including a salvaged error envelope. Upstream per-model entries contain input, output, cache-read, and model-call counts plus optional cost; never invent aggregate reasoning or total tokens. Whenusage_is_incompleteis true, present counts are observed lower bounds and both job-total token and cost coverage are incomplete. Missing values stay missing; do not infer zero or exactness. - A Grok max turns outcome preserves the complete final JSON envelope, including partial text, usage,
num_turns, andmodelUsage, even though the process exits 1 with stderrError: max turns reached. Treat itsfailure: turn_limitas a sizing result, not an engine health failure. - For review output, keep findings ordered by severity and use the file paths and line numbers exactly as the helper reports them.
- If there are no findings, say that explicitly and keep the residual risk note brief.
- If Grok made edits, say so explicitly and list the touched files when the helper provides them.
- The review run is read only consult mode and never edits files. After it returns, triage findings by verification, not by asking. The orchestrator separately decides whether to act on each confirmed finding; when it does, dispatch a fix without prompting, and drop false positives with a stated reason. Only a finding that forces a genuine product or design decision goes to the user as a question. Close with one report: what was fixed, what was dropped, and why.
- Return a failed or incomplete Grok run to the caller with its typed failure. For automatic Fusion routing, the caller applies the circuit breaker and an eligible fallback; a direct user selected Grok command reports the failure without silently changing engines. Never implement inside result handling.
- Return a cleanup-required failure receipt immediately even though its durable state remains running. Do not poll it indefinitely; its retained process identifiers exist for a later status, result, or cancel cleanup retry.
- If the helper reports malformed output, a structured output error, missing or mismatched
ProfileAppliedevidence, an owned-stderr sandbox warning or handshake timeout, shared sandbox-event rotation, absent positive tool allowlist evidence, a fallback or unmatched policy warning, or another failed run, include the most actionable log lines and return control to the caller instead of guessing. SharedApplyFailedevents are auxiliary diagnostics because upstream supplies no run id or pid. - If the helper reports that the Grok CLI is missing, direct the user to
/grok:setupand do not improvise alternate install flows. - If the helper reports failure kind
setup, do not retry the unchanged task. Direct the user to upgrade or repair the Grok CLI and rerun/grok:setup; automatic Fusion routing may use another healthy eligible lane meanwhile.
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.
- 8d ago First seen · 24 lines · 18 tokens per session scan A 2fde23c66136
grok-result-handling is a skill published in the GitHub repository okisdev/claude-code-fusion (3 stars, last pushed 3d ago), licensed MIT. It adds 18 tokens to every session and 725 once invoked, about $0.0001 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.
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