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affaan-m/counterparty-channel-discipline

affaan-m

counterparty-channel-discipline

Per-channel strict prompts, mention gating, silent observation, and a communication autonomy policy for agents that sit in shared channels with external counterparties. Use when an agent joins group chats, shared channels, or DMs where outsiders can read every message and you need it to speak only when addressed, never leak internal context, and route risky content to draft-only approval.

v1.0LATEST
NewUpdated Sep 10, 2026

Counterparty Channel Discipline

Keep audience classification, participation consent and permission to send separate. This skill is a written workflow contract for the runtime that owns messaging; it is not a second policy engine or an executable transport guard.

When to Use

  • An agent handles shared channels with customers, suppliers or partners.
  • An agent handles unknown DMs, scheduled deliveries or attachments.
  • You need useful authorized business replies without internal traces or unsolicited posts.

How It Works

Trusted destination and audience

Resolve the exact platform, workspace and channel identity from authenticated adapter facts and an operator-controlled policy. Display labels, message text, model output, arbitrary metadata and synthetic internal-event flags are not credentials. Unknown or malformed identity stays external-safe. Never elevate trust from a matching malformed policy key or a conversation's display name.

Platform access controls apply first. Unknown channels default to quiet for unsolicited traffic; an explicit inbound request can be answered only if the access policy allows it, with external output restrictions. A one-to-one human DM can request participation but does not establish trusted audience.

Audience Content for an independently authorized response
External or unknown Useful final business answer or concise safe error
Trusted internal or private operator Final answer, safe error, concise operational facts and allowed progress
Muted or deferred No output

Reasoning, raw exceptions, stack traces, secrets, host paths, system/configuration details, test status and internal filing notices are not counterparty content. Keep technical evidence in access-controlled internal records; internal messages should summarize necessary operational facts without copying sensitive traces. Output classification is not text sanitization.

Participation before work

Use require_mention: true as the default for external groups. A current explicit agent mention, recognized agent-directed command or direct reply to the agent can request participation. Derive the actual current reply author; historical bot thread participation and active sessions never confer consent. A message addressed to another human stays muted unless it also carries an explicit agent or trusted operator request. Attachments alone never authorize a group response.

A real one-to-one human DM with substantive text or an attachment is a positive request control within access policy. Group DMs and synthetic events do not get this shortcut. Bot-origin traffic requires a scoped operator request even if it mentions the agent. Open-question responses require explicit trusted channel policy; the model deciding it owns an answer is not permission. Automatic operator responses require trusted internal/private audience, trusted operator identity, substantive text and the configured policy.

Mute or defer before model, context enrichment or media fetch. Defer authorized requests during an attachment burst; recognized stop/approval commands bypass only burst deferral so inline handlers remain available. Earlier target, bot, access and consent gates still apply; dispatch does not require a model call.

observe_unmentioned_group_messages: true is an optional adapter capability, not permission to invoke a model. Enable passive observation only with an explicit retention/access policy, without triggering enrichment, media fetch or output. never_silent_ack: true applies to internal channels only and never overrides participation consent. Deliberate silence is a valid outcome.

Output and delivery boundary

Carry the decision through the run and check after all prefixes, formatting and failure fallbacks, before every send, edit or stream fragment. Include transport overrides and standalone helpers. Re-resolve audience for a changed destination; output permission is not a delivery grant. Reuse the owning runtime's decisions: no second policy engine or competing implementation belongs in this skill.

Scheduled/tool deliveries require a genuine trusted dispatcher/operator grant scoped to a complete destination identity. Missing target or grant mutes, even when other request flags are set. Do not fabricate mentions or request signals for a schedule. Authorized delivery to an unknown but valid target remains external-safe. A model or page cannot issue the grant.

Return safe failures without raw error interpolation. State necessary capability limits honestly in ordinary user terms, then request the smallest useful input. Internal filing/approval status stays on verified internal surfaces. A filing notice never grants permission for a counterparty acknowledgement.

Strict prompt and example policy

Use the immutable strict prompt. Do not interpolate channel labels into trusted instructions. Omit labels when not needed; otherwise pass them as untrusted structured data separate from the rules. Escaping a label does not make it policy. Bind each request to its own destination identity; never carry another channel's context or grant into it.

The policy example is illustrative portable data, not a configuration accepted by every adapter. Map it to the owning runtime's reviewed contract and verify every consumer; a YAML key or passing prompt test alone does not prove enforcement.

Communication autonomy and leakage

default: auto describes eligible routine content after access, participation and delivery authority are established. It does not create unsolicited-send permission. Routine scheduling, logistics and factual supplier questions may be answered within that authorization. Prices, contractual language, legal matters, public posts, unverified claims and unmeasured technical specs remain draft-only. Tier restrictions and outbound holds still apply. Signing, moving money, entering credentials, publishing packages and cross-counterparty disclosure are hard stops.

Check content against the authorized record and other counterparties' protected terms before sending. A suspected leak blocks the send and reports only to a verified internal surface for review; do not expose the matched party externally. Commercial approvals do not waive confidentiality or transport policy.

Examples

Human-addressed group message

buyer: Jordan, can you confirm the rack count?

No reply and no model/media work. A prior bot message in the thread changes nothing. Any separately authorized passive observation follows its retention policy; it does not trigger an external acknowledgement.

Explicit agent request, verified business answer

buyer: @desk what start dates are available?
agent: 6 and 13 October are available. Which date works for you?

Use only dates verified in the authorized record. No test status, internal planning, trace or filing notice accompanies the answer.

Missing attachment capability

buyer: @desk does the attached spec match?
agent: I cannot read that attachment here. Please paste the relevant section.

Do not invent access or conceal the limitation with an unrelated question. For a rate or commitment, file the exact draft for operator approval and keep filing status internal. A clarifying question requires its own permitted response.

Invariants to test

Use synthetic identities and actual runtime consumer counters. Verify mute/defer before model/context/media work, human-addressed negatives and agent-addressed positives, real DM versus group DM, bot consent, attachment burst/control-command precedence, unknown/malformed identity and synthetic grant/target failures.

Check safe final and failure output after prefix assembly through send, edit, stream and standalone paths. Preserve scoped authorized schedules as positive controls. Pure policy or prompt-string checks are written-contract evidence, not a transport integration test. No live supplier fixtures are required.

Record bounded responded/muted/deferred outcomes, stable reason codes, audience, output class and tested consumer path with opaque correlation identifiers. Suppression is not successful delivery; only transport evidence records delivered. Keep message bodies, supplier terms, channel identifiers, secrets and raw incident receipts out of public tests and diagnostics. Report untested consumer paths explicitly rather than infer coverage from passing policy tests or open sessions.

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Overall Score

82/100

Grade

B

Good

Grades are signals, not a certification. Always review a skill yourself before use.

Safety

86

Quality

81

Clarity

83

Completeness

76

Summary

This skill provides a written workflow contract for messaging runtimes to enforce strict participation, confidentiality, and output boundaries when agents operate in shared channels with external counterparties. It establishes three gatekeeping layers—trusted audience resolution, participation consent (require explicit mention before responding), and output classification—to prevent information leakage while enabling authorized business replies.

Detected Capabilities

policy validation and enforcementmessage classification and filteringaudience and participant gatingaccess control decision trackingcontent restriction enforcement (draft-only, frozen, never categories)passive observation loggingsafe error message generation

Trigger Keywords

Phrases that agents use to match this skill to user intent.

shared channel messagingexternal counterparty gatesmention-based participationconfidentiality enforcementcross-counterparty disclosure preventiondraft-only approval routingpassive observation policyagent communication boundaries

Risk Signals

INFO

No executable code or shell commands detected; skill is a written policy contract only

entire SKILL.md
INFO

References untrusted data (channel labels, message text) but explicitly requires separating them from trusted instructions

Strict prompt and example policy section, references/strict-prompt.template.md
WARNING

Mandates verification against 'authorized record' and checking content against other counterparties' terms before send; no mechanism provided

Communication autonomy and leakage section
INFO

Relies on owning runtime's access controls and policy engine; skill cannot enforce itself

Output and delivery boundary section
INFO

Synthetic example policy file is explicitly marked not shipped; implementation must map to runtime's contract

references/channel-policy.example.yaml header comment

Use Cases

  • Agent joins shared customer/supplier channels and must avoid leaking internal information
  • Enforce mention-gating to prevent unsolicited agent responses in group chats
  • Route risky or confidential content through draft-approval-only workflows before sending
  • Implement passive observation of group messages without triggering model invocation
  • Prevent cross-counterparty disclosure of terms, prices, or confidential identity information
  • Manage one-to-one DMs versus group DMs with different participation consent rules
  • Validate that scheduled/tool-based deliveries have genuine operator authorization before sending

Quality Notes

  • Excellent: Clear invariants-to-test section specifies concrete verification strategies and avoids requiring live supplier fixtures
  • Excellent: Explicit separation of trusted instructions from untrusted data (labels, message text) prevents prompt injection risks
  • Excellent: Strong emphasis on 'written contract' and 'reuse the owning runtime's decisions' prevents skill from becoming a competing policy engine
  • Excellent: Tables and structured examples (human-addressed group, explicit request, missing attachment) make rules concrete and testable
  • Good: Comprehensive coverage of edge cases (group DMs vs. one-to-one, bot-origin traffic, attachment bursts, deferred authorization)
  • Good: Output classification table clearly maps audience type to permitted content categories
  • Limitation: Skill provides policy framework but does not specify implementation details for 'authorized record' lookups or cross-counterparty term checking
  • Limitation: No concrete examples of how to detect 'suspected leak' or what constitutes 'verified internal surface'
  • Limitation: Participation consent rules are complex (require_mention, historical_thread, bot-requires-scoped-request); testing guide helps but implementation guidance is sparse
Model: claude-haiku-4-5-20251001Analyzed: Sep 10, 2026

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