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Agent Persona Exploration - 2026-10-22

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Valutazione

Difficoltà
2/5
Tempo stimato
1-3 ore
Idoneità per principianti
72/100
Tipo di issue
Documentazione
Chiarezza
Specificata chiaramente
Stato di attività
Attiva
Stack tecnologico
github-actions
Ambito
documentation

Direzione di ricerca

Leggi .github/aw/safe-outputs.md e .github/aw/report.md, indicati dall’issue come obiettivi della documentazione. Aggiungi indicazioni per la revisione umana dei workflow di conformità e una convenzione per la chiave di deduplicazione close-older-issues; verifica che entrambe le raccomandazioni siano formulate chiaramente nelle sezioni pertinenti.

Scritto dal modello di indicizzazione a partire dal testo della issue.

Descrizione

agent-research
Persona Overview
  • Agent: agentic-workflows (persona-evaluator)
  • Personas This Run: Program Manager, Designer, Legal / Compliance
  • Scenarios Tested: 4 (PM-1, DS-1, LC-1, LC-2)
  • Average Quality Score: 4.8/5.0
Key Findings
  • All 4 invocations succeeded; this was the strongest-scoring batch recorded so far (previous batch averaged 4.7/5.0).
  • The agent consistently separates read-only agent-job permissions from writes, routing all mutations through safe-outputs (create-issue, add-comment, add-labels).
  • For the compliance scenario (LC-1), the agent chose a flag-for-human-review pattern (comment + label) rather than auto-approving or auto-blocking PRs — an appropriate human-in-the-loop design for a legal domain.
  • The agent proactively justified security choices unprompted: using pull_request instead of pull_request_target for untrusted diffs (DS-1), and keeping network_access empty to avoid being steered into fetching untrusted external "policy" text (LC-1, LC-2).
  • Dedup strategy differs by scenario shape: stable close-older-issues keys for recurring digests/audits (PM-1, LC-2) vs. no dedup needed for per-PR comments (DS-1, LC-1).
Top Patterns
  1. Triggers: schedule + workflow_dispatch for digests/audits; pull_request (opened/synchronize/reopened) scoped with paths: filters for PR automation — no scenario triggered on overly broad events.
  2. Tools: github in gh-proxy mode with the default toolset is the near-universal recommendation; no unnecessary tool grants (no bash/web-fetch suggested where file/API reads sufficed).
  3. Security practices: agent job permissions held to contents: read (+ issues: read or pull-requests: read) in every case; network_access: [] whenever no external fetch was truly required; writes exclusively via safe-outputs.
  4. Noop discipline: every scenario included an explicit noop branch (nothing stale / nothing missing / no mismatches) to avoid empty-result issue spam.
View High Quality Responses (Top 2-3)
  • PM-1 (5.0/5 avg): Designed a stable per-week dedup key, explicitly turned off mentions and allowed-github-references to prevent unwanted owner pings/backlinks on an automated digest — a subtle but correct safety default.
  • LC-1 (4.8/5 avg): Resisted the temptation to make the workflow a gate; instead it flags uncertain DPA coverage for a human, matching the task's "flag uncertain... for human review" requirement precisely.
  • LC-2 (4.8/5 avg): Called out avoiding any live SPDX/license lookup over the network, reasoning that fetching remote "policy" text for comparison would introduce an injection/trust risk — a non-obvious catch.
View Areas for Improvement (Top 2-3)
  • Tool selection scored 4/5 (not 5/5) in 3 of 4 scenarios only because the summaries didn't explicitly address how file-content diffs (CSS/token files, license text, DPA table rows) would be read — relying implicitly on repo checkout access rather than naming a specific read path.
  • No scenario surfaced genuinely insecure configurations in this batch, which is a positive signal but also means this run didn't stress-test failure modes (e.g., ambiguous trigger scenarios, scenarios needing pull_request_target, or multi-repo scope).
  • Compliance- and design-token-adjacent scenarios reliably produced strong human-in-the-loop defaults, but this pattern is not yet written down anywhere — it currently depends on the model inferring it per scenario.
Recommendations
  1. Document the "flag-for-human-review, never auto-block/auto-approve" pattern explicitly in .github/aw/safe-outputs.md for compliance- and policy-adjacent workflows, so it's a stated convention rather than an emergent one.
  2. Add a canonical close-older-issues dedup-key naming convention (e.g., <workflow-slug>-<cadence>) to .github/aw/report.md, since the agent currently invents a reasonable but ad hoc key per scenario (dependency-risk-digest:<window-id> vs. license-policy-audit).
  3. Next run should include at least one scenario with an intentionally ambiguous trigger (e.g., a task that could plausibly need pull_request_target or cross-repo access) to test whether the agent's security reasoning holds up under harder cases, not just straightforward ones.

Generated by 🎭 Agent Persona Explorer · claude · agent · 140.2 AIC · ⌖ 0.751 AIC · ⊞ 6.7K · ◷

Lingua principale
Go
Stelle
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Fork
596
Merge medio
3h 51m
PR unite (30g)
831

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