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 Plazmodium/odin-workflow --skill context-engineeringgit clone --depth 1 https://github.com/Plazmodium/odin-workflowWrote 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/plazmodium/odin-workflow/context-engineering)<a href="https://agentmods.dev/skills/plazmodium/odin-workflow/context-engineering"><img src="https://agentmods.dev/badge/skills/plazmodium/odin-workflow/context-engineering.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 | $0.00023 | $0.00300 |
| Opus 5 | $0.00012 | $0.00150 |
| Sonnet 5 | $0.00005 | $0.00060 |
| Haiku 4.5 | $0.00002 | $0.00030 |
Grade A, and why
context-engineering 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 6d 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.
What it actually says
context-engineering
When To Use
- Starting a task in an unfamiliar codebase.
- Output quality drops or contradictions appear.
- The agent needs framework, repo, or domain context to act safely.
Workflow
- Identify the decision that context must support.
- Read local rules first:
AGENTS.md, command docs, nearby README files. - Inspect only the files, tests, configs, and call sites relevant to the task.
- Summarize constraints, conventions, and unknowns.
- Drop irrelevant context from working memory.
- Refresh context when changing directories, domains, or assumptions.
Anti-Rationalization
| Excuse | Rebuttal |
|---|---|
| "More context is always better." | Irrelevant context can poison decisions. |
| "I can infer the convention." | Local conventions beat generic model priors. |
| "The first files I found are enough." | Verify against call sites, tests, or configuration. |
Verification
- Claims are grounded in read files, commands, or provided text.
- Important unknowns are explicit.
- No broad rewrite was justified by shallow context.
Exit Criteria
- The agent has enough relevant context to proceed safely and no more than needed.
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.
- 6d ago First seen · 42 lines · 23 tokens per session scan A d27b62dc3b90
context-engineering is a skill published in the GitHub repository Plazmodium/odin-workflow (0 stars, last pushed 3mo ago), licensed MIT. It adds 23 tokens to every session and 300 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 2026-09-01.
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