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 tmargolis/career-navigator --skill evaluate-postgit clone --depth 1 https://github.com/tmargolis/career-navigatorWrote 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/tmargolis/career-navigator/evaluate-post)<a href="https://agentmods.dev/skills/tmargolis/career-navigator/evaluate-post"><img src="https://agentmods.dev/badge/skills/tmargolis/career-navigator/evaluate-post/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/tmargolis/career-navigator/evaluate-post"><img src="https://agentmods.dev/badge/skills/tmargolis/career-navigator/evaluate-post.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00031 | $0.00296 |
| Opus 5.5 | $0.00012 | $0.00118 |
| Sonnet 5.5 | $0.00006 | $0.00059 |
| Haiku 4.5 | $0.00003 | $0.00030 |
Grade A, and why
evaluate-post 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 1mo 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
Invoke writer in evaluate-post mode.
Invocation
- Use the exact agent name
writer. Retry once if invocation fails.
Workflow
- Read
{user_dir}/CareerNavigator/profile.md(Target Companies, Target Roles, industries). If targets are empty, ask once whether to evaluate against role-level norms only. - Collect the draft text from the user (or from the current turn).
- Instruct
writerto run the evaluate-post operation: risk tier, rationale vs each named target employer type, and optional safer paraphrases—user decides whether to edit. - If risk is high, suggest pausing publish until they adjust or run
content-suggestfor alternative angles.
Relation to cultural-risk-flag
When drafting in other flows triggers a risk check, prefer this skill’s rules so writer remains the single evaluator for public copy.
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.
- 1mo ago First seen · 29 lines · 31 tokens per session scan A 7bee352e14d9
evaluate-post is a skill published in the GitHub repository tmargolis/career-navigator (16 stars, last pushed 27d ago), licensed Apache-2.0. It adds 31 tokens to every session and 296 once invoked, about $0.0001 per session on Opus 5.5. 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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