Borrowing it
Nothing to install: this file belongs to frankxai/Starlight-Intelligence-System. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/frankxai/Starlight-Intelligence-System/main/.claude/commands/talent-motivation.mdgit clone --depth 1 https://github.com/frankxai/Starlight-Intelligence-SystemWrote 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/frankxai/starlight-intelligence-system/talent-motivation)<a href="https://agentmods.dev/commands/frankxai/starlight-intelligence-system/talent-motivation"><img src="https://agentmods.dev/badge/commands/frankxai/starlight-intelligence-system/talent-motivation/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/commands/frankxai/starlight-intelligence-system/talent-motivation"><img src="https://agentmods.dev/badge/commands/frankxai/starlight-intelligence-system/talent-motivation.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 | $0.00077 | $0.02641 |
| Opus 5 | $0.00039 | $0.01321 |
| Sonnet 5 | $0.00015 | $0.00528 |
| Haiku 4.5 | $0.00008 | $0.00264 |
Grade A, and why
talent-motivation 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.
How it starts
The opening of the file, as written. The whole thing — 183 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/talent-motivation
Load SIP.md, VOICES.md, agents/starlight-talent.md, skills/people-intelligence/people-dynamics.md, and if present prior motivation maps for this person and the team's culture artifact (people-intelligence/culture/) for system-context. Produce a Motivation Map. Hand off to exactly one next move.
Disclaimer (non-waivable)
This is HR system architecture, not clinical advice. When a person's distress crosses into active depression, anxiety disorder, eating disorder, or addiction, refer to a qualified mental health clinician. This is also not legal advice. ADA accommodations and protected-class considerations require jurisdiction-specific compliance and individualized interactive process — validate with qualified counsel.
Input
$ARGUMENTS
Flags
--role <ic|manager|exec|customer-facing|other>— role tier shapes which SDT dimension is most predictive. ICs: autonomy + competence dominant. Managers: relatedness rises. Execs: autonomy + relatedness dominant; competence assumed. Customer-facing: relatedness + competence dominant.--signal-window <weeks>— how many weeks of observable signal are available. Less than 8 weeks: flag confidence cost; recommend longer window before high-stakes intervention. 12+ weeks: high confidence. Required input — single-snapshot motivation maps are refused.- Optional context paragraph: the observed pattern in plain language ("She used to drive the roadmap conversations and now she's the last to speak in them" beats "she seems checked out").
Process
-
Disclaim. Open the output with the non-waivable disclaimer. Structurally first.
-
Locate. Confirm role-tier from
--role. Confirm signal-window from--signal-window. Surface the manager's hypothesis (if any) but bracket it — the diagnostic should not pre-confirm the manager's frame. -
Read. If a Culture artifact exists for this team (
people-intelligence/culture/), read it for system context. If a Genius Profile exists for the person's manager (rare but possible), note voice for the recommended manager-conversation script.
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 · 183 lines · 77 tokens per session scan A 08f0ceceaab5
talent-motivation is a command published in the GitHub repository frankxai/Starlight-Intelligence-System (8 stars, last pushed today), licensed MIT. It adds 77 tokens to every session and 2,641 once invoked, about $0.0004 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 2026-09-03.
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