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 OutlineDriven/odin-claude-plugin --skill from-career-perspectivegit clone --depth 1 https://github.com/OutlineDriven/odin-claude-pluginWrote 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/outlinedriven/odin-claude-plugin/from-career-perspective)<a href="https://agentmods.dev/skills/outlinedriven/odin-claude-plugin/from-career-perspective"><img src="https://agentmods.dev/badge/skills/outlinedriven/odin-claude-plugin/from-career-perspective/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/outlinedriven/odin-claude-plugin/from-career-perspective"><img src="https://agentmods.dev/badge/skills/outlinedriven/odin-claude-plugin/from-career-perspective.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00038 | $0.00472 |
| Opus 5 | $0.00019 | $0.00236 |
| Sonnet 5 | $0.00008 | $0.00094 |
| Haiku 4.5 | $0.00004 | $0.00047 |
Grade A, and why
from-career-perspective 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 4d 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 — 37 lines — stays where its author put it; the contents beside it link to each section on GitHub.
From career perspective
Contract
| Field | Bound contract |
|---|---|
| Trigger | User wants an answer only from the career seat (effects on human trajectories). |
| Authority | Read-only. No file, VCS, credential, paid, published, deployed, or remote mutation. |
| Side effect | Returns a career-perspective analysis in chat. |
| Done | Returns a career-perspective answer without blending. |
Inputs
The question or topic to analyze. No files, credentials, or external services are required.
Procedure
- Restate the supplied question or topic. Done when: the question or topic is restated.
- Adopt only the career seat and judge effects on human trajectories: career growth, skill acquisition, role transitions, professional risk, and human capital. Done when: the career-seat analysis covers the relevant trajectory effects.
- Answer exclusively from that seat. Do not blend any other perspective lens into the answer. Done when: no content from another lens appears in the answer.
- If the question has no career dimension, state that the career seat yields no independent answer rather than forcing one or borrowing another lens. Done when: a career dimension is found, or the no-dimension statement is emitted.
- Emit the career-perspective analysis as chat output. Comparison with other lens outputs happens outside this skill; this skill never blends or compares. Done when: the analysis is emitted as chat output.
Failure and recovery
- Blending: any sentence that argues from a seat other than career invalidates the answer. Discard it and re-answer from the career seat only.
- No career dimension: do not invent a career angle or substitute another lens. Return the explicit statement that the career seat yields no independent answer.
- Partial result: none; the answer is whole or it is rejected and re-emitted.
- Non-mutation: no rollback is needed; this skill produces chat output only.
Output
A career-perspective analysis: the effects of the subject on human trajectories, argued only from the career seat, with no blended lenses.
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.
- 4d ago First seen · 37 lines · 38 tokens per session scan A c2f234abc680
from-career-perspective is a skill published in the GitHub repository OutlineDriven/odin-claude-plugin (35 stars, last pushed yesterday), licensed Apache-2.0. It adds 38 tokens to every session and 472 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 2026-09-06.
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