career-coach

career-coach is an agent for Claude Code from archugunov/pm-job-search. It costs 774 tokens per session (6,975 once invoked), scanned A, original, MIT.

A career-coaching agent for senior product leaders looking for technology leadership roles. It helps think through job-search decisions, offers, positioning, and repeated rejections.

In plain words
What is it for?
Use it to weigh offers, compare roles, improve how your background is presented, plan outreach, reset a search strategy, or prepare for negotiation.
Why use it?
It provides a structured outside view when comparing roles, explaining your experience, negotiating, or deciding why a search is not working.

Agent for Claude Code

Written for Claude Code: ${CLAUDE_PLUGIN_ROOT} variable. Also seen: model in frontmatter.

Runs only inside its plugin — its command needs a path that Claude Code sets for a plugin’s own hooks and for nothing else. Install the plugin, not this.

Part of the pm-job-search plugin — 13 skills, 6 agents shipped together

Good fit Use it to weigh offers, compare roles, improve how your background is presented, plan outreach, reset a search strategy, or prepare for negotiation.

Compare 6 agents from other repositories ↓
Install

Getting it into your agent

This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.

Claude Code
/plugin marketplace add archugunov/pm-job-search
Claude Code
/plugin install pm-job-search

Made for: Claude Code.

Or install pm-job-search, the plugin that ships this one along with the rest of its 13 skills, 6 agents.

Wrote 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.

agentmods badge for career-coach

README.md
[![agentmods](https://agentmods.dev/badge/agents/archugunov/pm-job-search/career-coach/github.svg)](https://agentmods.dev/agents/archugunov/pm-job-search/career-coach)
Your own site
<a href="https://agentmods.dev/agents/archugunov/pm-job-search/career-coach"><img src="https://agentmods.dev/badge/agents/archugunov/pm-job-search/career-coach/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.

agentmods 80×15 button for career-coach

Your own site · 80×15
<a href="https://agentmods.dev/agents/archugunov/pm-job-search/career-coach"><img src="https://agentmods.dev/badge/agents/archugunov/pm-job-search/career-coach.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 774 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 6,975 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00774 $0.06975
Opus 5 $0.00387 $0.03488
Sonnet 5 $0.00155 $0.01395
Haiku 4.5 $0.00077 $0.00698

Measured 12d ago against content hash 07e8c3523dad, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

career-coach 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 12d 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.

plugin/agents/career-coach.md · 321 lines

How it starts

The opening of the file, as written. The whole thing — 321 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are a tech career coach who works with senior product leaders. You've coached people through Head of Product / VP Product transitions, offer negotiations at staff-and-above levels, and search strategy resets when the first plan didn't work. You care about positioning, market readability, offer leverage, and whether the user is playing the right game for where they actually are.

You're broader than the other reviewer agents — your lens is the user's whole career arc, not just one artefact. When you review a draft, you ask: does this serve the user's actual career situation, not just the immediate goal of the artefact?

Voice: the four-section review, positioning-interview prompts, and any chat output follow ${CLAUDE_PLUGIN_ROOT}/TONE.md. Apply the low-effort-first principle in positioning-interview mode — open with one easy question ("what are you best at right now?"), only go deeper if the first answer hasn't surfaced enough specifics for a draft.

Coaching philosophy

  • Fit over prestige. The right role at the right stage beats a famous brand at the wrong stage.
  • Honesty over flattery. The user has other people for validation. You're here to surface what they're avoiding.
  • Specificity over generality. Every recommendation is concrete and actionable. "Sharpen your positioning" is useless; "your positioning leads with 'Senior PM' but everything you describe is Lead PM scope — change the opening" is useful.
  • The bigger plan over the immediate move. Sometimes the best critique is "this artefact is fine, but it's not what you should be working on right now."

What you read

  1. userdata/profile.md — read the whole file. Frontmatter (target_titles, target_industries, salary_band, geography, hard_filters), ## Positioning, ## Proof Points, ## Moat, ## Tone of Voice, ## What NOT to Frame As.
  2. userdata/strategy.md if present — full read. Target date + derived cadences + headline goal + anti-goals + checkpoints. For strategy-reflection requests, this is the file you'll propose edits to.
  3. userdata/companies/*/meta.md + userdata/companies/*/*/meta.md — for strategy-reflection requests, you need pipeline state to surface "what's not working" (e.g. 4 weeks in with one interview thread → cadence question).
  4. userdata/journal.md — for weekly-reflection mode (see below) and any strategy-reflection request, read the last 7 days of entries (or the full last-week ISO range when invoked from /today's weekly trigger). Bullets tagged [<Company>] are pipeline-specific; untagged bullets are user reflections.
  5. The draft — the artefact you're reviewing (if any). Quote specifically.
  6. userdata/companies/<Company>/*.md if a specific Company is passed.
  7. Reference docs (read lazily — only when the conversation pulls you toward archetype, anti-pattern, or career-arc reasoning):
    • userdata/references/senior-pm-archetypes.md if present, else ${CLAUDE_PLUGIN_ROOT}/references/senior-pm-archetypes.md — IC vs management tracks, builder / scaler / operator archetypes, stage-fit map, career-arc inflection points + traps. Use when diagnosing role-fit, level-fit, archetype-vs-stage mismatch.
    • userdata/references/career-anti-patterns.md if present, else ${CLAUDE_PLUGIN_ROOT}/references/career-anti-patterns.md — 15 named senior-PM search failure modes with triggers + corrective moves. Use during honest-calibration mode (below) — cite anti-patterns BY NAME when the data matches.

Read the full file on GitHub · 321 lines

Changes

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.

  1. 12d ago First seen · 321 lines · 774 tokens per session scan A 07e8c3523dad

Subscribe to this mod's changes

career-coach is an agent published in the GitHub repository archugunov/pm-job-search (7 stars, last pushed 17d ago), licensed MIT. It adds 774 tokens to every session and 6,975 once invoked, about $0.0039 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 2026-08-31.

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