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 forsvn-labs/meta-skills --skill research-positioninggit clone --depth 1 https://github.com/forsvn-labs/meta-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/forsvn-labs/meta-skills/research-positioning)<a href="https://agentmods.dev/skills/forsvn-labs/meta-skills/research-positioning"><img src="https://agentmods.dev/badge/skills/forsvn-labs/meta-skills/research-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/forsvn-labs/meta-skills/research-positioning"><img src="https://agentmods.dev/badge/skills/forsvn-labs/meta-skills/research-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 | $0.00059 | $0.00603 |
| Opus 5.5 | $0.00024 | $0.00241 |
| Sonnet 5.5 | $0.00012 | $0.00121 |
| Haiku 4.5 | $0.00006 | $0.00060 |
Grade A, and why
research-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 2mo 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 — 74 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Research and position a product
Turn incomplete product context and current evidence into a decision-ready market position.
Establish the decision
Name the decision this research must change. Use available project context before asking anything. Ask at most one bundled question when different answers would materially change the conclusion.
Build the minimum useful model:
- Product: mechanism, maturity, price, constraints, and demonstrated capabilities.
- Audience: buyer, user, situation, decision power, and switching trigger.
- Costly moment: the event that makes the problem urgent or expensive.
- Alternatives: direct products, adjacent substitutes, agencies, spreadsheets, and doing nothing.
- Change: the credible before-and-after outcome.
- Proof: product evidence, customer behavior, demonstrations, or defensible reasoning.
Research with evidence discipline
Use current primary sources for volatile market, competitor, pricing, and platform claims. Separate:
- Observed: directly present in product, analytics, customer language, or a cited source.
- Inferred: the best explanation supported by observations.
- Assumed: necessary to continue but not yet supported.
Treat multiple comments from one thread as one selection mechanism. Name sample bias and how sources were recruited. Keep single-source observations as hypotheses. Prefer customer behavior and language over demographic stereotypes. Describe audience habitats with named communities and observed behavior, not a generic platform list.
For market size, state whether the estimate is top-down or bottom-up and show the governing inputs. Do not manufacture precision.
Make the positioning decisions
Resolve:
- the narrowest valuable audience to serve now;
- the costly moment that creates urgency;
- the real alternative used today;
- the distinct product mechanism;
- the strongest credible promise;
- the proof that reduces the main objection;
- the category or frame that makes the choice legible.
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.
- 2mo ago First seen · 74 lines · 59 tokens per session scan A 48c72a5fbf0a
research-positioning is a skill published in the GitHub repository forsvn-labs/meta-skills (14 stars, last pushed 5d ago), licensed MIT. It adds 59 tokens to every session and 603 once invoked, about $0.0002 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.
research-positioning compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| research-positioningforsvn-labs/meta-skills | Skill | 14 | 5d ago | MIT | A | 59 | Claude Code, Codex |
| x-tweet-by-conversationbrowser-act/skills | Skill | 6.3k | 2d ago | MIT | A | 218 | Claude Code, Codex |
| oma-scholarfirst-fluke/oh-my-agent | Skill | 1.4k | yesterday | MIT | A | 30 | Claude Code |
| pkf-writingPrismer-AI/PrismerCloud | Skill | 1.4k | 15d ago | MIT | A | 78 | Claude Code, Codex |
| monorepo-managementwshobson/agents | Skill | 42k | yesterday | MIT | C | 54 | Claude Code |
| render-3d-product-showcasegooseworks-ai/goose-skills | Skill | 1.3k | 11d ago | MIT | A | 159 | Claude Code, Codex |
| render-airdrop-carouselgooseworks-ai/goose-skills | Skill | 1.3k | 11d ago | MIT | A | 207 | Claude Code, Codex |