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-employee-offboardinggit 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-employee-offboarding)<a href="https://agentmods.dev/skills/jeffreytse/grimoire-core/run-employee-offboarding"><img src="https://agentmods.dev/badge/skills/jeffreytse/grimoire-core/run-employee-offboarding/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-employee-offboarding"><img src="https://agentmods.dev/badge/skills/jeffreytse/grimoire-core/run-employee-offboarding.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 | $0.00054 | $0.02409 |
| Opus 5 | $0.00027 | $0.01205 |
| Sonnet 5 | $0.00011 | $0.00482 |
| Haiku 4.5 | $0.00005 | $0.00241 |
Grade A, and why
run-employee-offboarding 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 9d 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 Employee Offboarding
Manage a departing direct report's final weeks with a structured plan for knowledge transfer, team communication, and the relationship — so the team remains functional, the departure strengthens the organization's alumni network, and critical knowledge does not leave with the person.
Why This Is Best Practice
Adopted by: SHRM's offboarding best practice guide is the HR industry standard; Microsoft, Google, and McKinsey maintain structured alumni programs precisely because how employees are treated at exit determines whether they return as clients, rehires, and referrers; the US Army's "transition assistance program" is a structured 3–6 week offboarding process that the Department of Labor considers a model for workforce transitions; Deloitte runs one of the largest corporate alumni networks in consulting (500,000+ members) specifically because alumni generate client referrals and return talent Impact: Workforce Institute (2020, 3,500 employees surveyed) found that 28% of employees who quit their jobs had returned to a former employer — and those "boomerang employees" performed at or above the level of never-left peers; LinkedIn data (2019) found that employees hired through alumni referrals have 45% higher retention at 2 years than external hires; BambooHR (2021) found that 20% of employees experienced "offboarding that made me less likely to speak positively about the company afterward" — each unhappy departure is a reputational risk in the talent market Why best: Most managers treat offboarding as an administrative process — collect the laptop, delete the accounts, post the job req — and not as a management responsibility; this approach creates three preventable failures: (1) critical knowledge leaves undocumented; (2) the team's morale is unmanaged during a period of uncertainty; (3) the departing employee leaves with a damaged or ambivalent relationship that turns an asset (alumni) into a liability (negative word-of-mouth)
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.
- 9d ago First seen · 149 lines · 54 tokens per session scan A 0e24a0bd427f
run-employee-offboarding is a skill published in the GitHub repository jeffreytse/grimoire-core (4 stars, last pushed 24d ago), licensed MIT. It adds 54 tokens to every session and 2,409 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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