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 give-employee-recognitiongit 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/give-employee-recognition)<a href="https://agentmods.dev/skills/jeffreytse/grimoire-core/give-employee-recognition"><img src="https://agentmods.dev/badge/skills/jeffreytse/grimoire-core/give-employee-recognition/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/give-employee-recognition"><img src="https://agentmods.dev/badge/skills/jeffreytse/grimoire-core/give-employee-recognition.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 | $0.00042 | $0.01804 |
| Opus 5 | $0.00021 | $0.00902 |
| Sonnet 5 | $0.00008 | $0.00361 |
| Haiku 4.5 | $0.00004 | $0.00180 |
Grade A, and why
give-employee-recognition 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 — 121 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Give Employee Recognition
Deliver specific, timely, and meaningful recognition that names what the employee did, why it mattered, and who was impacted — so recognition reinforces the behavior rather than just making the employee feel noticed.
Why This Is Best Practice
Adopted by: O.C. Tanner serves 35,000+ organizations globally with recognition programs; Salesforce, Google, and Microsoft have built peer-to-peer and manager recognition into their internal culture platforms; Gallup's Q12 employee engagement survey includes "In the last seven days, I have received recognition or praise for doing good work" as one of 12 core engagement indicators because it has the strongest correlation with business outcomes of any single survey item Impact: Gallup's 2022 meta-analysis (112,312 business units, 2.7M employees) found that employees who receive recognition in the last seven days are 10× more likely to be engaged; O.C. Tanner's Global Culture Report (2022, 38,000 respondents across 21 countries) found that 79% of employees who quit cited lack of appreciation as a primary reason; SHRM/Globoforce research found organizations with strategic recognition programs have 31% lower voluntary turnover Why best: Generic recognition ("great job", "well done") does not reinforce specific behavior because the recipient cannot identify what to repeat; compensation-linked recognition (bonuses) is appreciated but is processed as transactional, not relational, and does not produce the engagement effects of timely verbal or written recognition; the most impactful recognition is specific, timely, and socially visible — it tells the recipient exactly what they did, why it mattered to someone else, and ideally in front of peers
Sources: Gallup "Unleash the Human Potential of Your Workforce" (2022); O.C. Tanner "Global Culture Report" (2022); SHRM/Globoforce "The Business Impact of Employee Recognition" (2018); Buckingham & Goodall "Nine Lies About Work" (Harvard Business Review Press, 2019)
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 · 121 lines · 42 tokens per session scan A 3bbcf042c5f7
give-employee-recognition is a skill published in the GitHub repository jeffreytse/grimoire-core (4 stars, last pushed 23d ago), licensed MIT. It adds 42 tokens to every session and 1,804 once invoked, about $0.0002 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.
Other skills, from other repositories
employee-engagement-retention
Provides a practical, behaviour-level guide to why employees stay, why they leave, and what leaders do daily that determines which outcome occurs. Covers the eight retention-destroying behaviours, recognition versus appreciation, purpose-building, learning as a retention lever, and structured check-in practices that…
saga-orchestration
Implement saga patterns for distributed transactions and cross-aggregate workflows. Use this skill when implementing distributed transactions across microservices where 2PC is unavailable, designing compensating actions for failed order workflows that span inventory, payment, and shipping services, building…
make-skill-template
Create new Agent Skills for GitHub Copilot from prompts or by duplicating this template. Use when asked to "create a skill", "make a new skill", "scaffold a skill", or when building specialized AI capabilities with bundled resources. Generates SKILL.md files with proper frontmatter, directory structure, and optional…
meeting-efficiency
Agenda design, time boxing, decision capture, async alternatives, and productive facilitation.
deep-work-optimization
Focus blocks, distraction management, and flow state triggers for cognitively demanding work.
disagreement-protocol
Canonical phrasing for respectful disagreement without capitulation — structural resistance to sycophancy.