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/outlinedriven/odin-codex-plugin/contextsnpx skills add OutlineDriven/odin-codex-plugin --skill contextsgit clone --depth 1 https://github.com/OutlineDriven/odin-codex-pluginWhat 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 | $0.00059 | $0.00967 |
| Opus 5 | $0.00030 | $0.00483 |
| Sonnet 5 | $0.00012 | $0.00193 |
| Haiku 4.5 | $0.00006 | $0.00097 |
Grade A, and why
contexts 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- contexts — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 78 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Context Command
Auto-router for pre-implementation context gathering. Classify the input as codebase-oriented, doc-oriented, or both; invoke the appropriate workflow; emit a detected: acknowledgement as the first output line.
When to Apply / NOT
Apply:
- Any request for context, background, or orientation before implementing, fixing, or refactoring
- "How does X work", "get me context on Y", "what's the architecture of Z"
NOT apply:
- Bug reproduction or root-cause investigation — use a debugging workflow
- Already-in-progress implementation — gather context first, then proceed
- Analysis-only output with no pre-implementation intent
Detected Mode Acknowledgement [LOAD-BEARING]
First output line before ANY work:
detected: <mode> — scope=<paths|libs|both> sources=<brief summary>
Mode values: code-ref, doc-ref, both, ambiguous.
For both mode, also append: (sequential dispatch: codebase first, then external)
Input Classifier
First-match wins. Check in order: both must come before leaf modes so mixed-signal inputs are reachable.
| Priority | Mode | Minimum condition |
|---|---|---|
| 1 | both |
Repo-local signal (path, glob, symbol, or module) AND external signal (library, framework, SDK, API, CLI, or service name) both present and non-trivial |
| 2 | code-ref |
Repo-local signal present; no external signal |
| 3 | doc-ref |
External signal present; no repo-local signal |
| 4 | ambiguous |
Neither signal cleanly detected, OR signals present but neither dominant |
Worked examples:
"How does our /autoresearch skill use LangGraph's interrupt for HITL pauses?"→ repo signal + external signal →both"Refactor claude/skills/contexts/SKILL.md"→ repo signal only →code-ref"Latest Pydantic v2 model_validator signature"→ external signal only →doc-ref"Give me context on routing"→ no concrete signal →ambiguous→ gate fires
Auto-Detect Gate
Fire AskUserQuestion (single-select, NEVER multiSelect) when classifier returns ambiguous OR when both signals are present but one is dominant and the mode is unclear:
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 · 78 lines · 59 tokens per session scan A 37ae9c010b83
contexts is a skill published in the GitHub repository OutlineDriven/odin-codex-plugin (15 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 59 tokens to every session and 967 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.
Other skills, from other repositories
apm-review-panel
Use this skill to run a multi-persona expert advisory review on a labelled pull request in microsoft/apm. The panel fans out to five mandatory specialists plus a test-coverage specialist (active on every PR that touches src/) plus three conditional specialists (auth, doc-writer, performance-expert), all running in…
batch-bug-shepherd
Use this skill to drive a batch of suspected bugs in microsoft/apm from raw issue list to mergeable PR queue. Fan out one triage subagent per issue (LEGIT / UNCLEAR / FIXED-AT-HEAD), gate every legit bug against PRINCIPLES.md via an apm-ceo strategic-alignment pass, cross-reference legit issues against open PRs, then…
apm-spec-guardian
Use this skill to run a four-panel adversarial advisory review on any pull request that touches the OpenAPM specification artifact (docs/src/content/docs/specs/openapm-.md), its inline / sidecar JSON Schemas (docs/src/content/docs/specs/schemas/.schema.json), or the conformance fixture seed…
apm-triage-panel
Use this skill to triage one microsoft/apm issue selected by the daily sweep, the status/needs-triage fast path, or manual dispatch. Emit one synthesized comment with a decision, label set, exact milestone, and suggested next action.
cli-logging-ux
Use this skill when editing or creating CLI output, logging, warnings, error messages, progress indicators, or diagnostic summaries in the APM codebase. Activate whenever code touches console helpers (richsuccess, richwarning, richerror, richinfo, richecho), DiagnosticCollector, STATUSSYMBOLS, CommandLogger, or any…
pr-description-skill
Use this skill to write the PR description (PR body) for any pull request opened against microsoft/apm. Produces one self-sufficient GitHub-Flavored Markdown artifact: TL;DR, Problem (WHY), Approach (WHAT), Implementation (HOW), 1-3 validated mermaid diagrams, explicit trade-offs, validation evidence, and a…