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.
git 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-psych-safety)<a href="https://agentmods.dev/commands/frankxai/starlight-intelligence-system/talent-psych-safety"><img src="https://agentmods.dev/badge/commands/frankxai/starlight-intelligence-system/talent-psych-safety/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-psych-safety"><img src="https://agentmods.dev/badge/commands/frankxai/starlight-intelligence-system/talent-psych-safety.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 | $0.00079 | $0.03331 |
| Opus 5 | $0.00039 | $0.01665 |
| Sonnet 5 | $0.00016 | $0.00666 |
| Haiku 4.5 | $0.00008 | $0.00333 |
Grade A, and why
talent-psych-safety 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 — 226 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/talent-psych-safety
Load SIP.md, VOICES.md, agents/starlight-talent.md, skills/people-intelligence/people-dynamics.md, prior team-dynamics audits if any (people-intelligence/talent/team-dynamics-*), and Culture artifact for system-context (people-intelligence/culture/). Produce a Psychological Safety Measurement Plan plus interpretation rubric plus intervention design (if measuring follow-up). Hand off to exactly one next move.
Disclaimer (non-waivable)
This is HR system architecture, not clinical advice. When safety signals reveal individual distress crossing into clinical territory, refer that individual to a qualified mental health clinician. Not legal advice — patterns of fear-based silence around harassment, discrimination, or retaliation require jurisdiction-specific compliance and qualified counsel; this command does not resolve such legal matters.
Input
$ARGUMENTS
Flags
--baseline-or-followup <baseline|followup>— first measurement establishes baseline; subsequent measurements track shift. Single-snapshot psych-safety scoring is refused — the construct is longitudinal.--prior-survey-date <YYYY-MM-DD or none>— when was the last measurement, if any. Use to assess shift if followup.- Optional context: what triggered the measurement (manager observation, recent silence pattern, post-reorg check, quarterly cadence).
Process
-
Disclaim. Open the output with the non-waivable disclaimer. Structurally first.
-
Cite the research foundation. Edmondson 1999 onward: psychological safety as the shared belief that the team is safe for interpersonal risk-taking. Project Aristotle (Google, 2012-2015): psychological safety the #1 predictor of team performance, above tenure, talent density, and tooling. Team-by-team variance is enormous within a single company; aggregate is misleading.
-
Edmondson 7-question scale — administered anonymously, individually, with no individual identifiers traceable. Items (worded as common in published research; phrasing may be light-adapted to context but construct must be preserved):
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 · 226 lines · 79 tokens per session scan A ac03538fc7ac
talent-psych-safety is a command published in the GitHub repository frankxai/Starlight-Intelligence-System (8 stars, last pushed today), licensed MIT. It adds 79 tokens to every session and 3,331 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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