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 fledgeling-co/fledgeling-plugins/plugin install shipyardWrote 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/fledgeling-co/fledgeling-plugins/intake)<a href="https://agentmods.dev/skills/fledgeling-co/fledgeling-plugins/intake"><img src="https://agentmods.dev/badge/skills/fledgeling-co/fledgeling-plugins/intake/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/fledgeling-co/fledgeling-plugins/intake"><img src="https://agentmods.dev/badge/skills/fledgeling-co/fledgeling-plugins/intake.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 | $0.00197 | $0.01573 |
| Opus 5.5 | $0.00079 | $0.00629 |
| Sonnet 5.5 | $0.00039 | $0.00315 |
| Haiku 4.5 | $0.00020 | $0.00157 |
Grade A, and why
intake 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 1mo 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 — 104 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Pipeline Intake — rough idea to triage-ready briefs
Turn a rough idea into one-or-many briefs the triage stage can pick up. A brief is small on purpose: enough for triage to ground and judge, never a spec. This stage is where the pipeline is generous — divergent, exploratory, audience-minded — because everything after it narrows.
Running as a Gemini model? Read gemini.md in this directory first, then follow this file with the overrides it names. It gives step 4's 'features the audience would likely want' a counted ledger so the divergent pass cannot land as one brief, turns 'briefs, not specs' into a grep run over the written files, makes trawl and the research panel emit artifacts step 5 has to open, and requires every research claim to carry its citation check and its cost. Other models skip it.
Inputs
- A rough idea: inline text, a file, a voice-note transcript, a routed directive. Anything from "an app that does X" to "we should probably handle Y".
- Optional: a target repo (default: the current one). The briefs land in that repo's
docs/features-to-triage/.
Procedure
-
Read what exists.
docs/features-to-triage/, the ledger/board, and anydocs/deep-research/reports — so a new brief extends the backlog instead of duplicating it. Match by concept, not wording ("night theme" duplicatesdark-mode). If the repo keeps an out-of-scope record (.out-of-scope/or similar), check it: a previously rejected concept is surfaced to the user ("this was rejected before because — still true?"), not silently re-added. -
Research where the idea is thin. A rough idea usually leaves open questions about the world — market norms, prior art, what competing products do, what the audience already uses. Those are research questions, not guesses: run them per
${CLAUDE_PLUGIN_ROOT}/references/second-opinion-lanes.md§Deep research (Dossierresearch_plan→ panel, free lane first; verify citations; export todocs/deep-research/<slug>.md). Skip research when the idea is already concrete and internal.
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.
- 1mo ago First seen · 104 lines · 197 tokens per session scan A 5cd67a769cce
intake is a skill published in the GitHub repository fledgeling-co/fledgeling-plugins (2 stars, last pushed 4d ago), licensed MIT. It adds 197 tokens to every session and 1,573 once invoked, about $0.0008 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 2026-09-04.
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