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 AndreVianna/aid-methodology --skill aid-researchgit clone --depth 1 https://github.com/AndreVianna/aid-methodologyWrote 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/andrevianna/aid-methodology/aid-research)<a href="https://agentmods.dev/skills/andrevianna/aid-methodology/aid-research"><img src="https://agentmods.dev/badge/skills/andrevianna/aid-methodology/aid-research/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/andrevianna/aid-methodology/aid-research"><img src="https://agentmods.dev/badge/skills/andrevianna/aid-methodology/aid-research.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 | $0.00137 | $0.02259 |
| Opus 5 | $0.00068 | $0.01130 |
| Sonnet 5 | $0.00027 | $0.00452 |
| Haiku 4.5 | $0.00014 | $0.00226 |
Grade A, and why
aid-research 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 9d 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 — 177 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Research (investigate now, resolve nothing)
/aid-research investigates an open question now and returns a curated, verified
answer -- the complete picture, presented clearly. It is aid-ask's bigger
sibling: where aid-ask retrieves an answer that already exists in the project's
context (one read-only pass, no work folder), research builds a new judgment for a
question the available context can't already answer -- with option evaluation, external
context, an optional authorized spike, verification, and a human-facing presentation.
- Resolves nothing. No "I recommend X." It lays out conclusions (+/-), conflicts, and gaps; the user decides.
- Not a numbered pipeline phase; it does not route to
/aid-execute.
State machine: INTAKE -> INVESTIGATE (-> PROPOSE-SPIKE?) -> VERIFY (loop) -> PRESENT
[human resolves] -> HANDOFF? -> DONE. Print the [State: NAME] -- {purpose} entry line
on each state.
State: INTAKE
- Require a question. If the argument is empty, ask one bootstrapping question ("What do you want investigated?") and wait.
- Pick the path (question scope):
- Fast path -- a concrete, well-scoped question with clear evaluation criteria ("Is lib X compatible with our Node 24 build?", "Postgres vs SQLite for use-case Y against criteria A/B/C") -> investigate immediately.
- Guided path -- vague / broad / underspecified ("research our DB options") -> ask 2-3 scoping questions first (narrow it), then investigate.
- Classify complexity (sets model + effort): simple (bounded question, a few docs,
<=1 web source) ->
aid-researcherat sonnet / medium; standard/complex (broad options analysis, deep traversal, many web sources, a spike) -> opus / high. Verifier tier is always >= producer tier. - Consult the Work Initiation Gate, then allocate the work folder + STATE. First run
the gate (
.claude/aid/templates/work-initiation-gate.md):bash .claude/aid/scripts/works/enumerate-works.sh(main tree + every git worktree). Empty -> allocate below, no prompt. Works exist -> ask new-vs-continuation with the enumerated list; on continuation route to the chosen work's resume door and STOP (allocate nothing); on new work: resolve<work-id>aswork-{NNN+1}, whereNNNis the maximumwork-NNNnumeric prefix across every record the enumeration above already returned (cross-worktree by construction -- never a local.aid/works/glob; gate§ 3astep 1); create and enter the worktree per the gate's§ 3astep 2 (worktree-lifecycle.sh create <work-id> <name>, STOP on a non-zero exit or empty path, else enter the resolved path); only then allocate:.aid/works/<work-id>-<slug>/under.aid/works/; slug from the question. Copy.claude/aid/templates/work-state-template.ymlto.aid/works/work-NNN-<slug>/STATE.yml; write opening frontmatter (pipeline.path: lite,initiator: aid-research,lifecycle: Running,active_skill: aid-research,started/updated). Do NOT drive the 7-phasephasescalar. Associate a git worktree only if a spike is later authorized (INVESTIGATE).
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.
- 9d ago First seen · 177 lines · 137 tokens per session scan A 4a70e9ef5361
aid-research is a skill published in the GitHub repository AndreVianna/aid-methodology (5 stars, last pushed 2d ago), licensed MIT. It adds 137 tokens to every session and 2,259 once invoked, about $0.0007 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 2026-09-03.
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