Borrowing it
Nothing to install: this file belongs to xcaeser/work-skill. 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/xcaeser/work-skill/main/AGENTS.mdgit clone --depth 1 https://github.com/xcaeser/work-skillWrote 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/instructions/xcaeser/work-skill/agents-md)<a href="https://agentmods.dev/instructions/xcaeser/work-skill/agents-md"><img src="https://agentmods.dev/badge/instructions/xcaeser/work-skill/agents-md/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/instructions/xcaeser/work-skill/agents-md"><img src="https://agentmods.dev/badge/instructions/xcaeser/work-skill/agents-md.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 | $0.01006 | $0.01006 |
| Opus 5.5 | $0.00402 | $0.00402 |
| Sonnet 5.5 | $0.00201 | $0.00201 |
| Haiku 4.5 | $0.00101 | $0.00101 |
Grade A, and why
work-skill AGENTS.md 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 2mo 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 — 31 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Work project rules
Read skills/QUALITY.md before changing this project or any nested Work skill. Treat it as the project's quality bar.
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Keep every focused skill under
skills/work-*self-contained. Do not reference../QUALITY.md, sibling skills, or files outside its own directory; focused skills may be installed independently. -
Quality software must not break at real boundaries, must not demand attention without a reason, must know its limits, fix failures quickly, and respect human attention and authorship.
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Practice empathy, focus, and impute: understand the user's real context, eliminate unimportant opportunities, and present every surface and handoff with care that truthfully reflects the quality underneath.
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Treat taste as trained judgment: study references, use enduring fundamentals, invite critique, balance usability with character, and explain qualitative decisions beyond personal preference or current trends.
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Restore deliberate friction where cheap implementation would bypass judgment: require a real problem, user, validation question, and kill or selection criterion before turning generated options into product surface.
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Never preserve backwards compatibility. Prefer a clean break, update all in-scope consumers together, and remove obsolete aliases, adapters, wrappers, flags, and migration shims. If an external contract cannot be removed, stop and escalate; do not invent an internal compatibility layer.
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Choose the simplest implementation that fully meets the current requirements. Avoid speculative abstractions, configuration, and indirection.
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Grow the system in layers. Start from the smallest version that works end to end, and add each new capability on top of a product that already works. Never trade a working product for unfinished complexity.
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Keep components modular and concerns clearly separated.
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Prefer established, well-maintained libraries when they reduce overall complexity or improve reliability. Do not reimplement common functionality without a clear reason.
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Lean on the dependencies already in the project before writing your own implementation or adding packages. Do not assume a library lacks a capability without checking its documentation and types.
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Make architectural decisions for the long term. Do not accept a stopgap that only works for now and is meant to be replaced later.
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Keep user data, recoverability, security, and truthful failure behavior safe; those are not compatibility shims.
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Keep agents bounded executors. The parent owns taste, decisions, integration, user-facing copy, and proof.
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Before work begins, state the exact goal, source of truth, acceptance checks, boundaries, and what does not count. Treat concrete artifacts and validation evidence as the only completion proof.
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Make plans self-contained for a lower-capability executor with no hidden context: resolve judgment-heavy choices and name exact files, symbols, ordered changes, invariants, failure cases, validation commands, and expected evidence.
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For test work, inspect implementation, existing tests, public APIs, and actual user flows before writing anything. Add only deterministic tests for observed behavior, provide the four-line test plan first, and report tests deliberately omitted and any real bug discovered.
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For parallel investigation, diversify by approach family, preserve independent hypotheses early, track evidence and blockers, and challenge exact contracts and failure boundaries. Reopen blocked routes only for a materially new mechanism, within the user's scope and token budget.
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Once an agent starts, let it run until it reports
complete,blocked, or needs user input. Never kill it just because a poll, tool call, or arbitrary wall-clock interval elapsed; interrupt only for explicit cancellation/goal change, safety, duplicate ownership, an approved resource limit, or clear repeated no-progress evidence, and record the reason. -
Treat discovery validation as structural only. After changing workflow behavior, forward-test the affected skill with a realistic request in a disposable task and inspect its raw launch, goal, handoff, and read-only boundaries; routing or goal-lifecycle changes require representative
$work,$work-plan, and$work-checklistsmoke tests before release. -
Use
Work / 2. Ideatefor an interactive, question-by-question sparring session; it does not spawn agents or edit files, and it must end in a sharper decision or test rather than an idea dump. -
Use
Work / 4. Testfor direct meaningful-test implementation: inspect real behavior first, publish the four-line test plan, add only justified deterministic tests, and optimize for confidence rather than coverage; it does not spawn agents. -
Use
Work / 5. Concernfor a compact, read-only implementation sanity check; it reports only evidence-backed concerns and unknowns, never edits or a full fix plan. -
Use
Work / 6. Checklistto capture an ideated direction, plan, requirements, or concerns as accountable items. Capture mode does not create a goal or edit; Execute mode registers one parent-owned goal and works every item without agents. -
Use
Work / 9. Qualitywhen the standard should be passed into a conversation; it never spawns agents or edits files.
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.
- 2mo ago First seen · 31 lines · 1,006 tokens per session scan A 738b2e7d32c7
work-skill AGENTS.md is an instructions file published in the GitHub repository xcaeser/work-skill (2 stars, last pushed 2mo ago), licensed MIT. It adds 1,006 tokens to every session, about $0.0040 per session on Opus 5.5. 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 2026-08-31.
Other instructions, from other repositories
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next.js AGENTS.md
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