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.
/plugin marketplace add lool-ventures/founder-skills/plugin install founder-skillsWrote 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/lool-ventures/founder-skills/competitive-positioning)<a href="https://agentmods.dev/skills/lool-ventures/founder-skills/competitive-positioning"><img src="https://agentmods.dev/badge/skills/lool-ventures/founder-skills/competitive-positioning/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/lool-ventures/founder-skills/competitive-positioning"><img src="https://agentmods.dev/badge/skills/lool-ventures/founder-skills/competitive-positioning.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 | $0.00083 | $0.29742 |
| Opus 5 | $0.00042 | $0.14871 |
| Sonnet 5 | $0.00017 | $0.05948 |
| Haiku 4.5 | $0.00008 | $0.02974 |
Grade A, and why
competitive-positioning 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 5d 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 — 1,398 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Competitive Positioning Skill
Help startup founders see their competitive landscape clearly — who the real competitors are, where they're differentiated, how defensible that differentiation is, and how to present it to investors. Produce a competitive analysis with positioning maps, moat scorecards, and an investor-ready narrative. The tone is founder-first: a coaching tool for preparation, not a judgment.
Skill Metadata
- Author: lool-ventures
- Version: managed in
founder-skills/.claude-plugin/plugin.json - Compatibility: Python 3.10+ and
uvfor script execution. - Imports (optional):
deck-review:checklist.json— competition slide claims for cross-validationmarket-sizing:sizing.json— validate market claims in positioning
- Exports:
landscape.json→deck-review,fundraise-readinessreport.json→ic-sim,fundraise-readiness,cross-document-consistency
Skill Execution Model (READ FIRST)
See
founder-skills/references/skill-execution-model.mdfor the full inline-skill execution model (3 dispatch contexts, Mitigation 1+2, producer contract, Cowork quirks, per-symptom triage).
This skill runs inline in the main thread, not as a sub-agent — see the reference above ("Why Inline (Not Forked Sub-Agent)") for the rationale. Sub-agents are deliberately shell-free, so orchestration (producer scripts, artifact persistence) stays in the main thread. Network note: this skill's Context A sub-agent declares WebSearch in its own tool allowlist and performs its own live competitor research (LANDSCAPE_RESEARCH, MOAT_SCORING, POSITIONING_SCORING) — the main thread does NOT need a research-before-dispatch pass; pass founder-provided context inline and let the sub-agent research.
Two dispatch contexts for the sub-agent:
- Context A — Per-step analytical dispatch (Mitigation 1): Steps 4 (LANDSCAPE_RESEARCH), 5 (MOAT_SCORING + POSITIONING_SCORING), and 6 (CHECKLIST) dispatch the competitive-positioning agent via the
Tasktool. The agent does deep analysis (including its own WebSearch research), WRITES its output JSON to theOUTPUT_PATHgiven in its prompt (thehandoff/dir), and returns a small receipt. The main thread gates the file withcheck_handoff.py, then pipes it through the producer script (validate_landscape.py,score_moats.py,score_positioning.py, orchecklist.py). The sub-agent never writes canonical artifacts — only its hand-off file. - Context B — Post-compose coaching dispatch: Step 7 dispatches the sub-agent after
compose_report.pywritesreport.md. The sub-agent Reads the stagedcoaching_payload.jsonfrom the hand-off dir (Mitigation 2) — it does NOT read the fullreport.md— composes the coaching commentary, WRITES it to theOUTPUT_PATHhand-off file, and returns a small receipt. The main thread gates the file (check_handoff.py) and inserts it via the sharedinsert_coaching.pyscript (idempotency matrix, uuid-marker replacement, run_id-parity verification — all deterministic). See the reference above for the full Context B contract.
What ships with it
19 files 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.
- references/artifact-schemas.md 69 KB
- references/checklist-criteria.md 20 KB
- references/competitive-analysis-methodology.md 29 KB
- references/moat-definitions.md 20 KB
- scripts/_axis_compat.py 1.7 KB runs code
- scripts/_dispatch_json.py 1.9 KB runs code
- scripts/_theme.py 3.0 KB runs code
- scripts/checklist.py 21 KB runs code
- scripts/compose_report.py 98 KB runs code
- scripts/explore.py 42 KB runs code
- scripts/gate3_triggers.py 11 KB runs code
- scripts/persist_agent_artifact.py 8.1 KB runs code
- scripts/score_moats.py 17 KB runs code
- scripts/score_positioning.py 26 KB runs code
- scripts/validate_landscape.py 33 KB runs code
- scripts/vendor/chart.min.js 202 KB runs code
- scripts/verify_competitors.py 38 KB runs code
- scripts/verify_positioning.py 26 KB runs code
- scripts/visualize.py 44 KB runs code
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.
- 5d ago Changed · +37 lines e85838726e61
- 9d ago First seen · 1,361 lines · 83 tokens per session scan A 115fa56f4b81
competitive-positioning is a skill published in the GitHub repository lool-ventures/founder-skills (33 stars, last pushed 8d ago), licensed Apache-2.0. It adds 83 tokens to every session and 29,742 once invoked, about $0.0004 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.
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