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/arcboxlabs/linkcode/effect-tsnpx skills add arcboxlabs/linkcode --skill effect-tsgit clone --depth 1 https://github.com/arcboxlabs/linkcodeWhat 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 | $0.00083 | $0.02030 |
| Opus 5 | $0.00042 | $0.01015 |
| Sonnet 5 | $0.00017 | $0.00406 |
| Haiku 4.5 | $0.00008 | $0.00203 |
Grade A, and why
effect-ts 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 yesterday.
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.
The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
What ships with it
11 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- references/features.md 50 KB
- references/guide-effect.md 10 KB
- references/guide-error-handling.md 14 KB
- references/guide-layers.md 26 KB
- references/guide-observability.md 17 KB
- references/guide-retries.md 10 KB
- references/guide-schedule.md 9.4 KB
- references/guide-schema.md 16 KB
- references/guide-sql.md 15 KB
- references/guide-testing.md 13 KB
- references/setup.md 2.5 KB
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.
- yesterday First seen · 192 lines · 83 tokens per session scan A 27257e1b926b
effect-ts is a skill published in the GitHub repository arcboxlabs/linkcode (140 stars, last pushed 2d ago), with no licence file. It adds 83 tokens to every session and 2,030 once invoked, about $0.0004 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 2026-08-30.
Other skills, from other repositories
agentbox-info
Spin up isolated sandboxes ("boxes") for coding agents, run them in parallel, queue background runs with -i, and push commits safely through the host relay. Use when the user wants to run Claude Code / Codex / OpenCode in a sandbox, start more boxes, attach to a running box, or otherwise operate the agentbox CLI on…
code-review
Review the diff since a fixed point along two axes — Conventions (does the code follow this repo's coding standards and Tidy First practices?) and Intent (does the change do what it claims to do?). Runs both reviews in parallel sub-agents and reports them side by side. Use when you want to review a branch, a PR…
implementation-logger
Log implementation decisions — tracks deviations from plan and captures rationale.
quiz-me
Verify understanding after implementation with targeted quizzes.
security-audit
Use when reviewing code for security vulnerabilities, hardening an application, or deriving security requirements from OWASP/ASVS guidance.
capability-experiments
Experiment with model capabilities — HTML reports, embedded questionnaires, proactive research, multi-step reasoning.