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/rhtevan/agentfs/agentfs-ctx-chknpx skills add rhtevan/agentfs --skill agentfs-ctx-chkgit clone --depth 1 https://github.com/rhtevan/agentfsWrote 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/rhtevan/agentfs/agentfs-ctx-chk)<a href="https://agentmods.dev/skills/rhtevan/agentfs/agentfs-ctx-chk"><img src="https://agentmods.dev/badge/skills/rhtevan/agentfs/agentfs-ctx-chk.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 5.1 | $0.00016 | $0.02745 |
| Opus 5 | $0.00008 | $0.01373 |
| Sonnet 5 | $0.00003 | $0.00549 |
| Haiku 4.5 | $0.00002 | $0.00275 |
Grade A, and why
agentfs-ctx-chk 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 5d 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 — 285 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AgentFS Context Check
Audit the full stack of context that loads into an AI agent session and identify redundancy, ambiguity, conflicts, effectiveness issues, and stale cross-references. Optionally apply fixes.
Overview
| Property | Value |
|---|---|
| Version | 1.0 |
| Trigger | Explicit — user asks to audit/check context |
| Scope | Cross-layer: PROJECT AGENTS.md + USER ~/.agents/ + agent config + skills |
| LITE scope | Context budget ~850 tokens (vs ~3,750 for PROJECT). Skip skill/knowledge accounting |
| Dependencies | grep, wc, cat — no external tools |
| LLM required | Yes — redundancy/ambiguity detection is semantic |
| Companion | agentfs-eval checks structural health; this skill checks context efficiency |
When to Use
- New project: After running
agentfs-setup, audit the generated AGENTS.md against global instructions for redundancy - Existing project: Periodically check that accumulated context hasn't drifted, bloated, or developed contradictions
- After guardrail changes: When guardrails are renumbered, merged, or split, verify all cross-references are updated
- After skill updates: When skills reference guardrails by number, verify references are still correct
How It Differs from agentfs-eval
| Dimension | agentfs-eval |
agentfs-ctx-chk |
|---|---|---|
| Question | "Is this workspace structurally healthy?" | "Is the loaded context well-engineered?" |
| Scope | Single project .agents/ |
Cross-layer (project + user + agent config) |
| Method | Deterministic scripts + LLM classification | LLM-driven semantic analysis |
| Output | Maturity report (L0–L5) | Findings report + action plan |
| Fixes | Reports issues | Reports AND optionally applies fixes |
| Blast radius | One project | Seed templates + skills + global config |
Execution Steps
Step 1: Inventory All Context Sources
Identify every file that loads into the agent's session context. For each source, record: path, approximate size, loading mechanism.
What ships with it
2 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.
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.
- 5d ago First seen · 285 lines · 16 tokens per session scan A 4a837280ddc6
agentfs-ctx-chk is a skill published in the GitHub repository rhtevan/agentfs (2 stars, last pushed yesterday), licensed Apache-2.0. It adds 16 tokens to every session and 2,745 once invoked, about $0.0001 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.
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