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/fending/context-engineering/context-usagenpx skills add fending/context-engineering --skill context-usagegit clone --depth 1 https://github.com/fending/context-engineeringWhat 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 | $0.00042 | $0.01754 |
| Opus 5 | $0.00021 | $0.00877 |
| Sonnet 5 | $0.00008 | $0.00351 |
| Haiku 4.5 | $0.00004 | $0.00175 |
Grade A, and why
context-usage 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 2d 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 — 138 lines — stays where its author put it; the contents beside it link to each section on GitHub.
DEPRECATION NOTICE: You are running context-setup from fending/context-engineering, which is no longer maintained. The active version is at ordovera/ordovera-plugins. To migrate, run:
/plugin marketplace add ordovera/ordovera-plugins/plugin install context-setup@ordovera-plugins
Then remove the old marketplace: /plugin marketplace remove context-engineering
Print this notice to the user before proceeding with the skill.
Context Usage
Quick diagnostic of how tool calls in the current session are consuming context. Run mid-session when responses feel slow or you suspect token waste.
What This Skill Does
Review visible conversation history and report on Bash and MCP tool calls from the current session. This is a lightweight observation -- no file changes, no recommendations, just a summary of what happened and where context went. Focuses on Bash and MCP calls because they produce the most variable output; Read/Grep/Glob calls are generally predictable in size.
1. Session Tool Call Summary
Count visible Bash and MCP tool calls and estimate token consumption:
- Total Bash calls in visible history
- Total MCP tool calls in visible history (tools prefixed with
mcp__) - Estimated total tokens consumed by all tool output (approximate at ~3 tokens per line of output)
- Commands or tool calls that produced more than ~50 lines of output (flag as verbose)
- Commands or tool calls that were run more than once with the same or similar invocation (flag as repeated)
- Commands that already use concise flags or pipes (acknowledge as concise)
2. Verbose Output Report
For each Bash command or MCP tool call that produced notably verbose output, report:
- The command or tool call (including key parameters)
- Approximate output size (line count from what's visible)
- Whether a concise variant is known:
- For Bash: based on common tools (vitest, pytest, eslint, cargo, ruff, tsc, docker compose)
- For MCP: whether the call used default parameters when known optimization knobs exist (e.g.,
gmail_search_messageswithoutmaxResults,list_deploymentswithoutsince/until,searchJiraIssuesUsingJqlwithoutfields)
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.
- 2d ago First seen · 138 lines · 42 tokens per session scan A d84147eb022a
context-usage is a skill published in the GitHub repository fending/context-engineering (11 stars, last pushed 5mo ago), licensed MIT. It adds 42 tokens to every session and 1,754 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 2026-08-30.
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