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/capitalone/context-specs/expert-skeletonnpx skills add capitalone/context-specs --skill expert-skeletongit clone --depth 1 https://github.com/capitalone/context-specsWrote 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/capitalone/context-specs/expert-skeleton)<a href="https://agentmods.dev/skills/capitalone/context-specs/expert-skeleton"><img src="https://agentmods.dev/badge/skills/capitalone/context-specs/expert-skeleton.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 | $0.00069 | $0.00849 |
| Opus 5 | $0.00034 | $0.00425 |
| Sonnet 5 | $0.00014 | $0.00170 |
| Haiku 4.5 | $0.00007 | $0.00085 |
Grade A, and why
expert 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 — 68 lines — stays where its author put it; the contents beside it link to each section on GitHub.
The Expert — this project's long-term memory
How to use this memory
Scan the routing table, open only the reference files whose USE WHEN matches
the task at hand. Each file is one topic; files cross-link with [[wikilinks]]
(resolve [[name]] to references/name.md). Do not page through everything.
Facts vs. decisions
Most shards describe the code as it IS — plan and build consistently with them. A
decision- shard describes where the project is HEADING; the code may not reflect
it yet.
When your task touches an area a decision covers, make a call: does this work advance the decision (build the new way) or stay consistent with current code (build the old way)? Read the decision's "Until fulfilled" note first — it answers this for its case. If it's silent: new isolated code follows the decision; changes to existing code stay consistent with what surrounds them, unless the task is the migration. Never assume a decision is already implemented — verify the current state in code before planning against it.
Routing table
What ships with it
1 file 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 · 68 lines · 69 tokens per session scan A c39e0b0037e5
expert is a skill published in the GitHub repository capitalone/context-specs (41 stars, last pushed 11d ago), licensed Apache-2.0. It adds 69 tokens to every session and 849 once invoked, about $0.0003 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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