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 V-Songbird/slag --skill assaygit clone --depth 1 https://github.com/V-Songbird/slagWrote 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/v-songbird/slag/assay)<a href="https://agentmods.dev/skills/v-songbird/slag/assay"><img src="https://agentmods.dev/badge/skills/v-songbird/slag/assay/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/v-songbird/slag/assay"><img src="https://agentmods.dev/badge/skills/v-songbird/slag/assay.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 | $0.00161 | $0.05268 |
| Opus 5 | $0.00081 | $0.02634 |
| Sonnet 5 | $0.00032 | $0.01054 |
| Haiku 4.5 | $0.00016 | $0.00527 |
Grade A, and why
assay 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 9d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- codex — 88% identical, 330 lines differ
How it starts
The opening of the file, as written. The whole thing — 407 lines — stays where its author put it; the contents beside it link to each section on GitHub.
assay
The engine ships with this skill: from the directory holding this SKILL.md, it
is ../../scripts/assay.js. Resolve that to an absolute path once and use it
in every command below. assay needs Node 18 or newer. If node is not on PATH,
activate it the way the project's own setup notes say to, then rerun.
Every engine call that reads or writes the project's instruction files carries
--host codex only where it runs discovery — scan, remeasure, ci and
validate. Every other command reads the host off the saved records and refuses
the flag outright. The profile decides which files are sources, which analyses
apply, and what validate checks, so pass it wherever it is taken and nowhere
else. rollback and clean work off the journal and take no host.
Flags the user's request may carry: --startup <path> (audit a session that
begins in a subdirectory — the chain runs from the project root down to where
the session starts; pass it to scan, which fixes it in the saved context
report reads. The commands that re-scan inherit nothing from that context:
remeasure and validate need --host codex and the same --startup passed
again),
--dry-run (audit and preview only — the menu is not asked, nothing is
written), --verbose (the full report),
--json (the machine-readable record), --top <n> (show more than the default
8 rows in the fix table), --no-verify (skip the second pass in step 2),
--deterministic (skip every model step), --semantic (also propose duplicates
and conflicts the script cannot see), --project-only (skip the user's own
instruction files).
What this profile does not do. There is no letter grade and no wording
score here: those weights carry no evidence for this host. Skills are checked
against the metadata this host documents as required — name, description,
the agents/openai.yaml sidecar, duplicate names, the collective listing
budget. Say that plainly rather than implying anything here was scored, and
never present a finding as a prediction that any instruction will be obeyed.
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.
- 9d ago First seen · 407 lines · 161 tokens per session scan A d2ae3668046b
assay is a skill published in the GitHub repository V-Songbird/slag (1 stars, last pushed 4d ago), licensed MIT. It adds 161 tokens to every session and 5,268 once invoked, about $0.0008 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
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…
next-cache-components-optimizer
Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…
next-partial-prefetching-adoption
Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…