Borrowing it
Nothing to install: this file belongs to nklisch/skilltap. 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/nklisch/skilltap/main/AGENTS.mdgit clone --depth 1 https://github.com/nklisch/skilltapWrote 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/nklisch/skilltap/agents-md)<a href="https://agentmods.dev/instructions/nklisch/skilltap/agents-md"><img src="https://agentmods.dev/badge/instructions/nklisch/skilltap/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/nklisch/skilltap/agents-md"><img src="https://agentmods.dev/badge/instructions/nklisch/skilltap/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 | $0.01307 | $0.01307 |
| Opus 5.5 | $0.00523 | $0.00523 |
| Sonnet 5.5 | $0.00261 | $0.00261 |
| Haiku 4.5 | $0.00131 | $0.00131 |
Grade A, and why
skilltap 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 — 125 lines — stays where its author put it; the contents beside it link to each section on GitHub.
skilltap
Product
skilltap is a personal control plane for managing supported agent harness environments. It adopts, reconciles, and updates native marketplaces, plugins, complete skill directories, MCP configuration, and shared instructions.
It does not provide discovery, recommendations, security scanning, a TUI, or compatibility with the previous implementation.
Foundation
Read these before designing or implementing changes:
docs/VISION.md— purpose, audience, principles, and exclusions.docs/SPEC.md— authoritative behavior, commands, state, and reconciliation.docs/ARCH.md— Rust architecture and module boundaries.docs/UX.md— non-interactive CLI behavior and output.docs/HARNESS-CONTRACTS.md— Codex and Claude native contracts.
Foundation documents describe current or intended truth. Planned and time-bound work belongs in .work/.
Product Constraints
- Commands are deterministic and non-interactive.
- Bare scoped commands operate globally.
--projecttargets the current project.--project <path>targets another project.--all-scopestargets the managed computer.--targetselects one registered harness or all enabled harnesses.~/AGENTS.mdis the canonical global instruction file.- A skill is the complete directory containing top-level
SKILL.md. - Native harness lifecycle commands take precedence over file materialization.
- Cross-harness transfer must be faithful or reported as partial.
- Partial foreground operations require explicit acknowledgment.
- Daemon updates never acknowledge partial operations or overwrite drift.
- skilltap does not search or browse marketplace contents.
Architecture
The implementation is a stable Rust workspace:
skilltap-coreowns domain types, state, planning, reconciliation, compatibility, and updates.skilltap-harnessesowns the typed target registry, distinct native harness adapters, and user-service adapters.skilltap-cliowns argument parsing, rendering, and exit codes.skilltap-test-supportowns fixtures and isolated test environments.
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 · 125 lines · 1,307 tokens per session scan A 38a40515652b
skilltap AGENTS.md is an instructions file published in the GitHub repository nklisch/skilltap (7 stars, last pushed 1mo ago), licensed MIT. It adds 1,307 tokens to every session, about $0.0052 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.
skilltap AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| skilltap AGENTS.mdnklisch/skilltap | Instructions file | 7 | 1mo ago | MIT | A | 1,307 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | yesterday | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | today | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 275k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |