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-reportgit 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-report)<a href="https://agentmods.dev/skills/andrevianna/aid-methodology/aid-report"><img src="https://agentmods.dev/badge/skills/andrevianna/aid-methodology/aid-report/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-report"><img src="https://agentmods.dev/badge/skills/andrevianna/aid-methodology/aid-report.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 | $0.00143 | $0.01773 |
| Opus 5 | $0.00072 | $0.00886 |
| Sonnet 5 | $0.00029 | $0.00355 |
| Haiku 4.5 | $0.00014 | $0.00177 |
Grade A, and why
aid-report 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.
How it starts
The opening of the file, as written. The whole thing — 149 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Report (analyze now, resolve nothing)
/aid-report analyzes data/usage now and returns a curated, verified insight
report. Like /aid-research it resolves nothing -- it presents the picture and you
decide -- but its subject is data (a dataset, logs, telemetry, metrics, an A/B result)
rather than an open question.
- Boundary:
aid-report= a one-time analysis + insight. A durable, refreshable BI view is/aid-create-dashboard, not this. If the user wants the analysis to recur, that's a printed handoff to/aid-create-dashboard. - Not a numbered pipeline phase; does not route to
/aid-execute.
State machine: INTAKE -> ANALYZE -> VERIFY (loop) -> PRESENT [user resolves] -> HANDOFF?
-> DONE. Print the [State: NAME] -- {purpose} entry line on each state.
State: INTAKE
- Require a subject. Empty argument -> ask one bootstrapping question ("What data should I analyze, and what question about it?") and wait.
- Pick the path: Fast -- a clear data source + a clear analytical ask ("analyze
the A/B results in
results.csv", "error-rate breakdown from these logs") -> analyze now. Guided -- vague ("analyze our usage") -> scope which data, which metrics, what question first, then analyze. - Classify complexity (model + effort): simple (small dataset, one metric) ->
aid-researcherat sonnet / medium; standard/complex (large data, A/B significance, deep telemetry) -> opus / high. Verifier tier >= 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, no prompt. Works exist -> ask new-vs-continuation; on continuation route to the chosen work's resume door and STOP (allocate nothing); on new work: 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), then allocate (pipeline.path: lite,initiator: aid-report,lifecycle: Running,active_skill: aid-report;phasenot driven), same as the other collapse skills.
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 · 149 lines · 143 tokens per session scan A 23a35c6138fe
aid-report is a skill published in the GitHub repository AndreVianna/aid-methodology (5 stars, last pushed 2d ago), licensed MIT. It adds 143 tokens to every session and 1,773 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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