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 agentmods add skills/unknowbug/anchorlaw/anchor.writenpx skills add unknowbug/anchorlaw --skill anchor.writegit clone --depth 1 https://github.com/unknowbug/anchorlawWrote 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/unknowbug/anchorlaw/anchor.write)<a href="https://agentmods.dev/skills/unknowbug/anchorlaw/anchor.write"><img src="https://agentmods.dev/badge/skills/unknowbug/anchorlaw/anchor.write.svg" alt="Measured on agentmods" 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 | $0.00041 | $0.00472 |
| Opus 5 | $0.00020 | $0.00236 |
| Sonnet 5 | $0.00008 | $0.00094 |
| Haiku 4.5 | $0.00004 | $0.00047 |
Grade A, and why
anchor.write 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 today.
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.
Copies of this mod
1 near-identical copy found in the catalogue:
- anchor-write — 92% identical, 3 lines differ
What it actually says
anchor.write — 写 Anchor 标注
Protocol: spec/protocol-v0.20.md §5.1/§5.2/§5.5, §13 Layer: L2 (Anchors) Execution: inline
触发场景
实现或重构完一个公开函数后，为该函数声明验证锚点。
规则
- 每个公开函数必须有 ≥1 个 test 或 ≥1 个 idk（§5.1 compile-time check）。
- @anchor.test 必须带 source（§5.5）：
source="<type>:<binary_or_file>!<function>#<id>, offset=<addr>, <key_observations> observed <ISO8601>"- source 类型：
trace（动态调试快照）/memory（内存转储）→ 允许 @test static（静态分析推断）→ 仅允许 @idk；@test 用它或缺失 → INVALID
- source 类型：
- 无法验证的边界 → 诚实写 @anchor.idk（§5.2），禁止写假 test 凑数。
- source 字符串实现 MUST 原样保留（审计用途）。
三语言语法（§13）
| 语言 | 声明位置 | 验证载体 |
|---|---|---|
| Python | 装饰器 | test_fn lambda |
| TypeScript | JSDoc 注释（inert） | 运行时 assert |
| C++ | 行注释 // @anchor.test("desc", source="...") / // @anchor.idk("desc")（inert） |
独立 probe binary |
输出
写入的 anchor 标注（含合法 source）。
约束
- 语义照 §5，不复制协议原文。
- 写完后跑
anchor.test验证。
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.
- today Changed 3a3e854bace5
- 4d ago First seen · 42 lines · 41 tokens per session scan A 511e9b7a17db
anchor.write is a skill published in the GitHub repository unknowbug/anchorlaw (5 stars, last pushed 3d ago), licensed MIT. It adds 41 tokens to every session and 472 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 2026-08-31.
Other skills, from other repositories
perf-profiling
Systematic performance profiling and optimization across frontend (Core Web Vitals, code splitting, lazy loading), backend (N+1 queries, async), and database (EXPLAIN ANALYZE, indexing) layers. Use when the user reports slow code, latency, memory leaks, needs to benchmark, or wants to speed up an application. Measure…
permanent-memory-loader
Loads permanentmemory.md summary lines (≤120 always-loaded tokens, hard cap 200). Surfaces durable wisdom from past Epics into the current session. Silent if .claude/memory/ does not exist.
optimize-model-precision
Use when evaluating FP16, BF16, or supported quantization formats for a TensorRT-Model-Connect model. Establishes a model-owned correctness baseline, changes one effective build option at a time, detects ineffective precision, and retains comparable parity, memory, bundle, and performance evidence.
openspec-plus-apply
MANDATORY skill that activates whenever the OpenSpec apply phase begins. Triggers: /opsx-apply runs, the openspec-apply-change vanilla skill is referenced or active, openspec instructions apply is invoked, or the user asks to implement, apply, execute, or build out an OpenSpec change ('implement the change', 'apply…
openspec-plus-spec
MANDATORY skill that activates whenever the OpenSpec specification phase begins. Triggers: /opsx-new or /opsx-continue runs; openspec-new-change, openspec-continue-change, or openspec-explore is active; openspec instructions spec or openspec instructions specs is invoked; or the user wants to create, update, review…
openspec-plus-tdd
MANDATORY skill that activates whenever code is written to implement an OpenSpec change task. Triggers: openspec-plus-apply is active, /opsx-apply is running, the user is implementing tasks from an OpenSpec change, an implementer subagent dispatched by openspec-plus-apply is starting work, or the user invokes phrases…