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 tony/skills --skill research-foraygit clone --depth 1 https://github.com/tony/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/tony/skills/research-foray)<a href="https://agentmods.dev/skills/tony/skills/research-foray"><img src="https://agentmods.dev/badge/skills/tony/skills/research-foray/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/tony/skills/research-foray"><img src="https://agentmods.dev/badge/skills/tony/skills/research-foray.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 | $0.00035 | $0.01563 |
| Opus 5.5 | $0.00014 | $0.00625 |
| Sonnet 5.5 | $0.00007 | $0.00313 |
| Haiku 4.5 | $0.00003 | $0.00156 |
Grade A, and why
research-foray 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- foray — 86% identical, 50 lines differ
How it starts
The opening of the file, as written. The whole thing — 94 lines — stays where its author put it; the contents beside it link to each section on GitHub.
this skill
Research a topic, or assess a decision, so the work outlives the session: each run in a dated folder, each claim tied to a captured and pinned source, later runs building on earlier ones, and a report that leads with the answer.
User arguments: $ARGUMENTS
Pick the procedure
<topic.py> is scripts/topic.py in this plugin, at references/topic.py from this skill's directory. Before the first command, resolve it once to an absolute path from this skill's base directory (known when the skill loads) and write that absolute path literally in every later command: shell variables do not persist between Bash calls. Parse the arguments with the script, never by hand. A wrapper skill (assess, status, continue, verify, report, release) hands you its step word and its arguments: write the step word, when there is one, then the arguments exactly as given, inside a quoted heredoc so the shell expands nothing:
$ python3 <topic.py> route --stdin <<'ARGS'
<step word> <arguments>
ARGS
route prints the step, the validated flags, the references to read, and the rest of the request as request, with topic set when that rest is one name or one quoted phrase; otherwise read the topic from request. It says when it inferred continue from --fill or --expand. On an error (an unknown option or an invalid value), report it and stop. With no step word, read the request and pick one:
- A new topic or question:
references/start.md. assess, or a new decision:references/start.mdin assessment mode, withreferences/assessment.md.status, "what research do I have", "where was I":references/status.md.continue, pick up, keep going, fill the gaps, dig deeper, expand:references/continue.md.verify, re-check sources, links, or quotes, or look for missed sources:references/verify.md.report, write or rewrite the report:references/report.md.releasenamed by the user:references/release.md. "Is it ready" without that word:checkperreferences/release.mdstep 1 alone. "Record a decision" and "export" run underrelease:references/release.mdstep 3 or 5.- Any other request to send, share, or hand off a report: finish the report and its
check, then offerreleasein the panel. Never release on your own initiative.
What ships with it
13 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.
- agents/openai.yaml 254 B
- references/analysis.md 3.6 KB
- references/assessment.md 6.8 KB
- references/continue.md 2.8 KB
- references/layout.md 9.7 KB
- references/prose-rules.md 4.5 KB
- references/release.md 6.1 KB
- references/reply-contract.md 3.9 KB
- references/report.md 10.0 KB
- references/start.md 7.6 KB
- references/status.md 2.7 KB
- references/topic.py 176 KB runs code
- references/verify.md 6.1 KB
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 Changed · +31 lines · +3 tokens per session 7210c5f866bf
- 15d ago Changed · +3 lines 74400cc0f823
- 16d ago First seen · 60 lines · 32 tokens per session scan A d9ee3478fc74
research-foray is a skill published in the GitHub repository tony/skills (0 stars, last pushed 3d ago), licensed MIT. It adds 35 tokens to every session and 1,563 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 2026-10-04.
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