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 iFurySt/aifi --skill research-target-resolvergit clone --depth 1 https://github.com/iFurySt/aifiWrote 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/ifuryst/aifi/research-target-resolver)<a href="https://agentmods.dev/skills/ifuryst/aifi/research-target-resolver"><img src="https://agentmods.dev/badge/skills/ifuryst/aifi/research-target-resolver.svg" alt="Measured on agentmods" 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 | $0.00060 | $0.00424 |
| Opus 5 | $0.00030 | $0.00212 |
| Sonnet 5 | $0.00012 | $0.00085 |
| Haiku 4.5 | $0.00006 | $0.00042 |
Grade A, and why
research-target-resolver 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 8d 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
Research Target Resolver
Use this skill before company or sector research. Its job is to turn the user's
target phrase into a stable ResearchTarget that downstream skills can reuse.
Keep this skill narrow: resolve identity, scope, ambiguity, and initial peer context. Do not write the investment thesis here.
Workflow
- Parse the user's target phrase, requested market, date range, and intent.
- Resolve canonical identifiers: company name, ticker, exchange, country, sector, industry, common aliases, and investor-relations site.
- Detect ambiguity. Ask a concise clarification only if multiple plausible targets would materially change the research.
- Build a first-pass peer set and sector tags.
- Create or update the target directory in the research archive.
- Emit a
ResearchTargetblock for downstream skills.
Archive Location
Persist reusable target context under:
research/targets/<ticker-or-slug>/profile.md
Use lowercase slugs for non-ticker themes. For public equities, prefer the main
listed ticker in lowercase, such as research/targets/intc/profile.md.
Read references/research-target-schema.md before writing a profile or target
block.
Output
Return:
- canonical target identity
- ambiguity notes, if any
- peer set and sector tags
- archive path used or created
- source list and freshness notes
- next recommended skills
Quality Gate
Do not hand off to downstream skills until:
- ticker and company identity are explicit for public-company research
- exchange and country are known when available
- aliases include the user's original phrasing
- stale or uncertain facts are labeled
- profile updates preserve useful prior context instead of replacing it blindly
What ships with it
2 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.
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.
- 8d ago First seen · 59 lines · 60 tokens per session scan A c764dfc7bbb7
research-target-resolver is a skill published in the GitHub repository iFurySt/aifi (22 stars, last pushed 1mo ago), licensed MIT. It adds 60 tokens to every session and 424 once invoked, about $0.0003 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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