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 jeffreytse/grimoire-core --skill run-career-conversationgit clone --depth 1 https://github.com/jeffreytse/grimoire-coreWrote 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/jeffreytse/grimoire-core/run-career-conversation)<a href="https://agentmods.dev/skills/jeffreytse/grimoire-core/run-career-conversation"><img src="https://agentmods.dev/badge/skills/jeffreytse/grimoire-core/run-career-conversation/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/jeffreytse/grimoire-core/run-career-conversation"><img src="https://agentmods.dev/badge/skills/jeffreytse/grimoire-core/run-career-conversation.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 | $0.00052 | $0.02133 |
| Opus 5 | $0.00026 | $0.01066 |
| Sonnet 5 | $0.00010 | $0.00427 |
| Haiku 4.5 | $0.00005 | $0.00213 |
Grade A, and why
run-career-conversation 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 7d 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 — 149 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Run Career Conversation
Have a structured, future-focused dialogue with a direct report about their career aspirations, current gaps, and a concrete plan to grow — separate from performance evaluation and weekly check-ins.
Why This Is Best Practice
Adopted by: Google mandates career development conversations as part of the manager effectiveness framework documented in re:Work; LinkedIn's internal "Employees' Best Interest" model requires managers to explicitly discuss external career opportunities with reports; Microsoft, Adobe, and Deloitte have replaced annual reviews with quarterly check-ins that include career development as a mandatory component; SHRM's Individual Development Plan (IDP) framework is the standard HR template across most enterprise HR systems Impact: Gallup's 2017 research (195k respondents) found that 87% of millennials and 69% of non-millennials rate career development as important to their job, yet only 37% strongly agree their manager helps them develop; LinkedIn's "Why Employees Stay" research (2019) found that employees who feel their manager takes an interest in their career goals are 2.6× more likely to stay; Beverly Kaye's research across 200+ organizations shows that the #1 reason high performers leave is not compensation — it is perceived lack of development opportunity Why best: Weekly one-on-ones focus on current work and immediate blockers; performance reviews evaluate past performance against current-role expectations; neither addresses where the employee wants to go and what they need to get there; without a dedicated career conversation, managers operate on assumptions about what employees want — often wrong assumptions — and employees feel invisible, which is the primary precursor to disengagement and departure
Sources: Google re:Work "Career Conversations" (rework.withgoogle.com); Gallup "State of the American Workplace" (2017); LinkedIn Talent Solutions "Why and How People Change Jobs" (2015); Kaye & Giulioni "Help Them Grow or Watch Them Go" (Berrett-Koehler, 2nd ed. 2019); SHRM "Individual Development Plans" knowledge center
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.
- 7d ago First seen · 149 lines · 52 tokens per session scan A 902ccad509d1
run-career-conversation is a skill published in the GitHub repository jeffreytse/grimoire-core (4 stars, last pushed 22d ago), licensed MIT. It adds 52 tokens to every session and 2,133 once invoked, about $0.0003 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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